{"id":"W3012478295","doi":"10.17118/11143/18886","title":"Du réchauffement aux conséquences écologiques : s’adapter, migrer ou disparaître","year":2019,"lang":"fr","type":"article","venue":"˜Le œclimatoscope","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"cons; Adapter (computing); Computer science; Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005160521,0.0003977011,0.0003655149,0.0005442649,0.001017346,0.00134489,0.0003215261,0.0006641296,0.004539925],"category_scores_gemma":[0.001187735,0.000207921,0.000308506,0.0005515689,0.0009481645,0.0009980225,0.0009721947,0.0006116375,0.0009225985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005831514,"about_ca_system_score_gemma":0.0006028041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008275522,"about_ca_topic_score_gemma":0.01402884,"domain_scores_codex":[0.999651,0.0001043197,0.00001426856,0.00008257464,0.00008177451,0.00006605234],"domain_scores_gemma":[0.9990999,0.0002003169,0.0002291951,0.0000827116,0.0002406745,0.000147299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006675302,0.0001748429,0.4300582,0.001108511,0.0002895161,0.00416682,0.01734798,0.002324818,0.350987,0.004894398,0.004197032,0.1837834],"study_design_scores_gemma":[0.00002101028,0.0008325748,0.8956934,0.0002324182,0.0001473674,0.003904878,0.02018993,0.001596585,0.01960085,0.003960653,0.05373621,0.00008411491],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974479,0.002581679,0.004081081,0.001132834,0.0001049542,0.00003236316,0.0002534463,0.00007044303,0.01726411],"genre_scores_gemma":[0.9880677,0.001487268,0.002061423,0.0003476829,0.00004065499,0.00002911839,0.0002011009,0.00002760062,0.007737442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008275522,"threshold_uncertainty_score":0.0164547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055092785384009,"score_gpt":0.2524440599384457,"score_spread":0.2318931320846056,"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."}}