{"id":"W4402644221","doi":"10.7202/1113557ar","title":"Forest Family","year":2024,"lang":"en","type":"article","venue":"The Trumpeter","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forestry; Environmental science; Agroforestry; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001096504,0.00004895082,0.00002946639,0.0000122829,0.0001123177,0.00005249731,0.0001699993,0.00001344218,0.001513951],"category_scores_gemma":[0.000002080531,0.00002809772,0.00003813599,0.00009551705,0.00009388994,0.00004728426,0.0001938512,0.0000449099,0.004619633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003113052,"about_ca_system_score_gemma":0.000001640449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007729,"about_ca_topic_score_gemma":0.00009643586,"domain_scores_codex":[0.9995968,0.0000156549,0.00004686364,0.0001126883,0.0001248451,0.0001031751],"domain_scores_gemma":[0.9998033,0.00002272431,0.0000063665,0.0001470488,8.761673e-7,0.00001968711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001944657,0.00004123941,0.8162354,0.0000323269,0.00006774096,0.00004714699,0.004222003,0.00059298,0.001916469,0.0006538721,0.1126101,0.06356137],"study_design_scores_gemma":[0.00002591539,0.000008694461,0.5631236,0.000003566142,0.00001134034,9.655701e-7,0.0000957063,0.0009418507,0.00001748941,0.0005014016,0.4352289,0.00004049142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290067,0.0000736765,0.0001079905,0.003341173,0.0001797632,0.00008258562,0.000001797396,0.0000601303,0.06714621],"genre_scores_gemma":[0.9843017,0.00001467561,0.00004422134,0.001277832,0.00004459645,0.000003213778,0.000001557087,0.000003828276,0.01430841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3226188,"threshold_uncertainty_score":0.9993988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104547304863921,"score_gpt":0.1876108314931776,"score_spread":0.1771561010067856,"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."}}