{"id":"W2272724660","doi":"","title":"A DETAILED ANALYSIS OF PRODUCTIVITY TRENDS IN THE FOREST PRODUCTS SECTOR IN ONTARIO, 2000-2013: SUNSET INDUSTRY OR INDUSTRY IN TRANSITION?","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Forest product; Product (mathematics); Investment (military); Natural resource economics; Business; Economics; Agricultural economics; Economic growth; Forest management; Geography; Forestry; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003319783,0.0002198905,0.0002506657,0.002584208,0.0008798355,0.001396625,0.0004429519,0.0002648591,0.003609988],"category_scores_gemma":[0.001425531,0.0002005585,0.0004373671,0.01024373,0.0004209266,0.0005609764,0.0005626659,0.0003242228,0.0006976653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01945661,"about_ca_system_score_gemma":0.02501762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866387,"about_ca_topic_score_gemma":0.9940358,"domain_scores_codex":[0.9994404,0.00001240723,0.0000291847,0.00005416085,0.00027809,0.0001857223],"domain_scores_gemma":[0.9978423,0.0001126081,0.0003824507,0.00004719743,0.001291961,0.0003234822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001981146,0.00003979974,0.9306716,0.0003246584,0.00009936732,0.0003580458,0.003465039,0.001563207,0.002083447,0.00184527,0.02331058,0.03604104],"study_design_scores_gemma":[0.000002185696,0.00001031188,0.9833478,0.00002342971,0.00001186204,0.00002096305,0.001187467,0.0003541725,0.0001594301,0.0000410784,0.01483434,0.000006906199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621587,0.002066229,0.0006721446,0.001983971,0.00002669088,0.0000746035,0.1064848,0.00008354399,0.02644919],"genre_scores_gemma":[0.91356,0.00274719,0.0008206629,0.0001811585,0.00002414974,0.00004163745,0.05041268,0.00003723732,0.03217538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01945661,"threshold_uncertainty_score":0.1411682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05517378425720523,"score_gpt":0.3082791723158123,"score_spread":0.2531053880586071,"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."}}