{"id":"W1239330843","doi":"","title":"危机中的艾伯塔（Alberta）省林产品工业","year":2008,"lang":"zh","type":"article","venue":"国际木业","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006378358,0.0002584349,0.0002753492,0.0001069214,0.0001964773,0.000006595355,0.0002863252,0.0004034401,0.0008588894],"category_scores_gemma":[0.00004644733,0.0002749615,0.0001102025,0.000223896,0.0002231995,0.0001537615,0.00004896168,0.0004767921,0.002040979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004120064,"about_ca_system_score_gemma":0.0000430598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000455891,"about_ca_topic_score_gemma":0.0003335345,"domain_scores_codex":[0.9988736,0.0000233835,0.0002602514,0.0002686244,0.0001200544,0.0004540929],"domain_scores_gemma":[0.9992842,0.00008376472,0.00002321412,0.0005014321,0.00002396993,0.00008342754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003294335,0.0001236922,0.00983998,0.0002324517,0.0002820797,0.0005335858,0.003611544,0.003532842,0.000841555,0.9533753,0.02420745,0.003386615],"study_design_scores_gemma":[0.00417874,0.001166884,0.2420376,0.0005293977,0.0003532349,0.002383687,0.003224827,0.02519861,0.003919431,0.4796298,0.2325074,0.004870334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2233905,0.004357947,0.0002230049,0.0006091132,0.0007260268,0.0001148307,0.00001102247,0.0004294676,0.7701381],"genre_scores_gemma":[0.9827509,0.00135109,0.0003116043,0.00009696771,0.0001761351,0.00001065732,0.00001009986,0.00003559991,0.01525698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7593604,"threshold_uncertainty_score":0.9999703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117098453102347,"score_gpt":0.1909856584949327,"score_spread":0.1798146739639093,"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."}}