{"id":"W7012283028","doi":"","title":"Canada","year":2000,"lang":"en","type":"article","venue":"","topic":"Environmental Science and Technology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Identification (biology); Process (computing)","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":[0.0003021738,0.001533234,0.0007842507,0.002190298,0.005925595,0.004384503,0.001540033,0.001523471,0.7055364],"category_scores_gemma":[0.00122751,0.0005966901,0.0004866182,0.002964017,0.001055124,0.001044588,0.001711918,0.001447534,0.3523894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01314535,"about_ca_system_score_gemma":0.02071681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8025669,"about_ca_topic_score_gemma":0.9180641,"domain_scores_codex":[0.9990707,0.0000416864,0.00002177762,0.0002080993,0.0004615157,0.0001962359],"domain_scores_gemma":[0.9986363,0.0001119504,0.00004702773,0.00009601573,0.00085581,0.000252838],"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":[0.0002131748,0.0001049132,0.001856587,0.0004156255,0.00003238839,0.0006001932,0.0001892571,0.0006217718,0.002389099,0.02915505,0.7578957,0.2065262],"study_design_scores_gemma":[0.00001727296,0.00001280721,0.001409191,0.000100571,0.000007993513,0.0001023932,0.000141738,0.0001516784,0.0004457316,0.001100243,0.9964997,0.00001072593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002238972,0.003277468,0.0007866255,0.002099272,0.0005927258,0.00009244196,0.00975699,0.000609993,0.9805455],"genre_scores_gemma":[0.003187744,0.00101712,0.0005169344,0.0002869041,0.00001906096,0.00001437054,0.001914923,0.0001130812,0.9929299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7055364,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001341885165332608,"score_gpt":0.1583154665669756,"score_spread":0.156973581401643,"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."}}