{"id":"W2969930442","doi":"10.1093/njaf/21.4.200","title":"Who Will Log in Maine's North Woods? A Cross-Cultural Study of Occupational Choice and Prestige","year":2004,"lang":"en","type":"article","venue":"Northern Journal of Applied Forestry","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Logging; Prestige; Work (physics); Geography; Occupational prestige; Socioeconomics; Demography; Forestry; Demographic economics; Sociology; Engineering; Population; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001664849,0.0001500446,0.0002212742,0.00008008641,0.00006595537,0.00004073456,0.0002807698,0.00005323968,0.0001439084],"category_scores_gemma":[0.00002459275,0.0001182231,0.00004454386,0.0002428805,0.0002397232,0.0003977171,0.0001296143,0.0002245782,0.00002064182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009385857,"about_ca_system_score_gemma":0.00002687153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000597804,"about_ca_topic_score_gemma":0.008020696,"domain_scores_codex":[0.9987423,0.00001339292,0.0004542904,0.0001625844,0.0004128763,0.0002145219],"domain_scores_gemma":[0.9993641,0.00002998585,0.0003401988,0.0001406163,0.00002311829,0.0001019758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000177726,0.0002783141,0.9326824,0.0000114227,0.0000242608,0.0000160251,0.001548624,0.0641498,0.00003402702,0.0001850912,0.00005387916,0.0008384223],"study_design_scores_gemma":[0.002323246,0.0002985674,0.9957119,0.0000183347,0.00001906543,0.00001118049,0.0001715279,0.00004770157,0.00001630404,0.000831392,0.0004333039,0.0001174574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962158,0.00001680433,0.00001002718,0.00003640752,0.00003394426,0.0002368882,0.000004837334,0.000005311353,0.003440038],"genre_scores_gemma":[0.9995353,0.00000891407,0.0002016498,0.00004651686,0.00009089437,0.000005762781,0.000002838251,0.00001174647,0.00009638553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0641021,"threshold_uncertainty_score":0.4820998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138968883027368,"score_gpt":0.2785102001741557,"score_spread":0.264613311871419,"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."}}