{"id":"W2148609104","doi":"10.5465/ambpp.2003.13792394","title":"MULTILEVEL DETERMINANTS AND PROCESSES OF INSTITUTIONAL CHANGE IN THE BRITISH COLUMBIA COASTAL FOREST INDUSTRY.","year":2003,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clearcutting; Logging; Business; Negotiation; Legislation; Forestry; Political science; Geography; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004092259,0.00009338209,0.0001346985,0.00004513592,0.0001425213,0.0001079274,0.0003098093,0.0001032016,0.0002571299],"category_scores_gemma":[0.00005517129,0.000105445,0.00001962188,0.0004019268,0.0003640757,0.0005327233,0.0002187108,0.0001720711,0.000007500439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001704503,"about_ca_system_score_gemma":0.000003718279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004056031,"about_ca_topic_score_gemma":0.004261688,"domain_scores_codex":[0.9989395,0.000008964296,0.0002568801,0.0002272726,0.0003372592,0.0002301954],"domain_scores_gemma":[0.9997531,0.0000177849,0.0001486385,0.00003807855,0.000007245967,0.00003511409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005340662,0.00009497209,0.9746998,0.0004058087,0.000008810083,0.000003346491,0.0004782809,0.000005690467,0.000008608566,0.001998169,0.005867339,0.01642385],"study_design_scores_gemma":[0.0005038843,0.00004069514,0.9637362,0.0001518867,0.00002193225,0.0000118566,0.0001721705,0.0001448411,0.00004159434,0.0008934214,0.03416165,0.0001198067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717516,0.00003752401,0.000001640784,0.0001866966,0.00001280518,0.0006025707,0.000006683608,0.000008788152,0.02739164],"genre_scores_gemma":[0.9968233,0.0001924983,0.0002818085,0.0003940648,0.0000159822,0.00009818568,0.000001206543,0.000007233096,0.002185731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02829431,"threshold_uncertainty_score":0.6131533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975784278111097,"score_gpt":0.2622924560203619,"score_spread":0.232534613239251,"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."}}