{"id":"W6948024621","doi":"10.4224/40001257","title":"Code national de prévention des incendies : Canada : 1995","year":2002,"lang":"fr","type":"standard","venue":"NPARC","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Government (linguistics); Context (archaeology); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002211568,0.001412414,0.001164503,0.006143386,0.002770084,0.003219354,0.003498777,0.002438994,0.0492571],"category_scores_gemma":[0.0117068,0.001248606,0.001016815,0.01492757,0.001200881,0.001601971,0.001156307,0.003800899,0.01720037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07086728,"about_ca_system_score_gemma":0.2167219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908164,"about_ca_topic_score_gemma":0.992148,"domain_scores_codex":[0.994194,0.0001829996,0.0004654494,0.0002526435,0.004174399,0.0007305472],"domain_scores_gemma":[0.9741998,0.0007555221,0.0007227974,0.0003074489,0.0231011,0.0009134493],"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":[0.00003736703,0.00003518498,0.001889112,0.000341094,0.00001121665,0.00002710636,0.0001236777,0.0002350354,0.00006949733,0.003523623,0.9524841,0.04122294],"study_design_scores_gemma":[0.00003983949,0.00001487589,0.02499287,0.0008911224,0.00002448156,0.00005761928,0.0001970599,0.0001608997,0.000206973,0.0007792331,0.9725848,0.00005022504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003398388,0.04071602,0.003576905,0.01769357,0.005297655,0.001578752,0.6120183,0.002063188,0.3136572],"genre_scores_gemma":[0.02499146,0.0402355,0.01809669,0.01055685,0.0003768683,0.001968087,0.2847622,0.001209825,0.6178024],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07086728,"threshold_uncertainty_score":0.5141805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03773197919290609,"score_gpt":0.2418883473694114,"score_spread":0.2041563681765053,"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."}}