{"id":"W7067046101","doi":"","title":"Les changements climatiques dans les publications de médias québécois selon la sémantique vectorielle","year":2022,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Yeasts and Rust Fungi Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Western europe; Plant production; Environmental factor; Biological evolution","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":[0.003771463,0.0007694982,0.0005204781,0.01736856,0.002377506,0.01250927,0.0007802307,0.0009751066,0.009321291],"category_scores_gemma":[0.02293168,0.0005750574,0.0008697722,0.02853519,0.002198454,0.005560849,0.001366937,0.001686515,0.002649059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01099462,"about_ca_system_score_gemma":0.008962592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4328732,"about_ca_topic_score_gemma":0.4892012,"domain_scores_codex":[0.9953316,0.000790026,0.0004368354,0.001048935,0.001911038,0.0004815852],"domain_scores_gemma":[0.9652689,0.01342916,0.005395095,0.001370145,0.01378053,0.0007561902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006552047,0.00009758923,0.6178436,0.002422965,0.0007426121,0.001202954,0.0264221,0.005469277,0.01395071,0.05313191,0.0346195,0.2434416],"study_design_scores_gemma":[0.00002884135,0.0000722656,0.7927914,0.0009810727,0.0002865928,0.0009926884,0.02183337,0.01119877,0.004041635,0.009355477,0.1582652,0.0001525972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7845596,0.02110388,0.03029785,0.01009403,0.001073405,0.0002726569,0.05488883,0.00195265,0.09575716],"genre_scores_gemma":[0.9387748,0.006901139,0.01492377,0.0003116903,0.0002576754,0.0002154035,0.01517992,0.000423664,0.02301181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5671268,"threshold_uncertainty_score":0.8607072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530736642167566,"score_gpt":0.2306721702433248,"score_spread":0.2153648038216492,"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."}}