{"id":"W3028049934","doi":"10.17118/11143/18884","title":"Sommes-nous bien informés ? : écarts entre la couverture du changement climatique et de la biodiversité par les médias et la littérature scientifique","year":2019,"lang":"fr","type":"article","venue":"Le climatoscope","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Guelph; Université Laval","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","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":[0.008248848,0.0009527431,0.00101021,0.007559855,0.002899552,0.01125378,0.001035663,0.002801582,0.01667384],"category_scores_gemma":[0.02019669,0.0003502796,0.0008970175,0.006973688,0.005637737,0.0112517,0.002424151,0.002855747,0.002864089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005349725,"about_ca_system_score_gemma":0.007280784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03391059,"about_ca_topic_score_gemma":0.03507657,"domain_scores_codex":[0.9951356,0.002667756,0.0002403876,0.0006265072,0.00109743,0.0002323428],"domain_scores_gemma":[0.9726511,0.0190099,0.00211104,0.0014124,0.004152343,0.0006631284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000339408,0.0001368867,0.02087302,0.01075839,0.0005674937,0.001290965,0.04907904,0.000852258,0.004160579,0.3195305,0.1285259,0.4638856],"study_design_scores_gemma":[0.00001651023,0.00007112465,0.01578132,0.007105171,0.00015578,0.0006925151,0.01707306,0.0004596951,0.001252429,0.0333177,0.9239878,0.0000868594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02702485,0.6352447,0.01184253,0.1723937,0.01370874,0.00009414414,0.00205629,0.000224331,0.1374108],"genre_scores_gemma":[0.3117323,0.5670361,0.01075945,0.03370301,0.02111312,0.0003172345,0.001585264,0.0003842035,0.05336939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03391059,"threshold_uncertainty_score":0.06742644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773106395272777,"score_gpt":0.2611482757878877,"score_spread":0.2434172118351599,"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."}}