{"id":"W4384698425","doi":"10.1080/08941920.2023.2230453","title":"<i>Seeing the Forest for the Trees</i> Sequel I: An Extension of the 1985–2017 Bibliometric Analysis of Environmental and Resource Sociology","year":2023,"lang":"en","type":"article","venue":"Society & Natural Resources","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sociology; Resource (disambiguation); Natural resource; Environmental sociology; Social science; Extension (predicate logic); Bibliometrics; Environmental studies; Natural resource management; Regional science; Library science; Political science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009595468,0.0001517371,0.000223545,0.0007985153,0.0006646746,0.0000307416,0.0007177243,0.00009601565,0.00007571114],"category_scores_gemma":[0.00009488099,0.00007186827,0.0004684136,0.01337819,0.001655928,0.0001095888,0.0006417148,0.0001981214,0.000008978526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004138461,"about_ca_system_score_gemma":0.000003815632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003982335,"about_ca_topic_score_gemma":0.0002218726,"domain_scores_codex":[0.9985951,0.0001173977,0.0002507252,0.0002904307,0.0004308432,0.0003154725],"domain_scores_gemma":[0.9982889,0.0008945058,0.0002549895,0.0005157834,0.000006286733,0.00003955178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001407972,0.0001210622,0.7724714,0.00006601005,0.0016657,0.000001263052,0.03435086,0.02069245,0.0404092,0.000554538,0.08625503,0.0432717],"study_design_scores_gemma":[0.0002038134,0.00005729733,0.9244575,0.000004845556,0.0004441428,7.204235e-7,0.002130301,0.02993552,0.00009862663,0.000211317,0.04236232,0.0000935834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961767,0.001449169,0.000003504503,0.001566558,0.00005424341,0.0003567213,0.00004943371,0.000020578,0.0003231138],"genre_scores_gemma":[0.9968929,0.0005235835,0.00004168657,0.0005824334,0.00005371819,0.00001692992,0.00002352667,0.00001297636,0.001852187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1519861,"threshold_uncertainty_score":0.6427778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189178332906442,"score_gpt":0.2648230821774819,"score_spread":0.2459052488868377,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}