{"id":"W4205503974","doi":"10.4095/329472","title":"Platforme canadienne d'adaptation aux changements climatiques, équiper les Canadiens face à l'évolution du climat, rapport annuel (d'avril 2018 à mars 2019)","year":2019,"lang":"fr","type":"report","venue":"","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mars Exploration Program; Geography; Forestry; Adaptation (eye); Humanities; Political science; Physics; Art","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":[0.005737097,0.001313789,0.0006105006,0.00217011,0.0025465,0.005211192,0.001218875,0.004367472,0.05235497],"category_scores_gemma":[0.009219183,0.0005228614,0.0007466609,0.002319126,0.0009162294,0.002337847,0.005606248,0.004833344,0.01319015],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009569192,"about_ca_system_score_gemma":0.05064167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2919888,"about_ca_topic_score_gemma":0.2430896,"domain_scores_codex":[0.9968699,0.0004940165,0.00009067395,0.0002134533,0.001404036,0.0009278993],"domain_scores_gemma":[0.9957958,0.0006215078,0.0002264548,0.0003450828,0.001313863,0.001697255],"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":[0.00018611,0.00008920973,0.001946583,0.0003095791,0.0000248319,0.0001653889,0.0005033025,0.0005397771,0.0004339002,0.02995986,0.9347176,0.03112387],"study_design_scores_gemma":[0.00003258687,0.00001869205,0.007507273,0.0001717965,0.000005795544,0.00004136857,0.0002486206,0.0001421236,0.0003195982,0.001577288,0.9899165,0.00001828631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01501705,0.03707195,0.007398183,0.190275,0.02855057,0.001393291,0.1043784,0.002504878,0.6134106],"genre_scores_gemma":[0.09295513,0.01978372,0.01658991,0.01065186,0.002696088,0.003077307,0.03504815,0.0008543511,0.8183435],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9904308,"threshold_uncertainty_score":0.5805786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09908736624216699,"score_gpt":0.3120511558875386,"score_spread":0.2129637896453716,"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."}}