{"id":"W2358863259","doi":"","title":"Canadian Environmental Industry","year":2000,"lang":"en","type":"article","venue":"China Environmental Protection Industry","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Business; Environmental protection; Environmental planning; Environmental resource management; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007087049,0.0008805878,0.0004095565,0.005598037,0.008591804,0.004788718,0.001361661,0.0009444967,0.08558273],"category_scores_gemma":[0.003183547,0.0005021374,0.00067198,0.01253329,0.0007400055,0.001257763,0.001362072,0.001409512,0.01288495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04893896,"about_ca_system_score_gemma":0.1382137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886343,"about_ca_topic_score_gemma":0.9947554,"domain_scores_codex":[0.9961154,0.00006418309,0.00008582023,0.0003112247,0.002736851,0.000686428],"domain_scores_gemma":[0.9959092,0.00008132738,0.00009051819,0.00009286647,0.003380759,0.000445376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004674723,0.00002787994,0.007861451,0.0003391163,0.00002220287,0.0002316893,0.0004428255,0.0003173805,0.0005114322,0.04879298,0.8518215,0.08958475],"study_design_scores_gemma":[0.000003101786,0.000004790498,0.009939589,0.0000413435,0.000007970047,0.00004480435,0.0003135994,0.0001536852,0.000222314,0.0004211625,0.9888327,0.00001499868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01076504,0.005909495,0.001751477,0.01175489,0.001319208,0.000228472,0.06736082,0.000759675,0.9001509],"genre_scores_gemma":[0.05526624,0.009828446,0.003868637,0.003334793,0.0001322817,0.00008374955,0.0383675,0.0002322028,0.8888863],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08558273,"threshold_uncertainty_score":0.3550787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008601351735005812,"score_gpt":0.1924728503356918,"score_spread":0.183871498600686,"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."}}