{"id":"W2305917019","doi":"10.58079/ougi","title":"You find it cold in Montréal ? trust me, it is even worse","year":2011,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; AXA Research Fund","keywords":"Evening; Meteorology; Air temperature; Thermometer; Advertising; History; Geography; Business; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001200812,0.000233586,0.0002892029,0.0002432096,0.0008544632,0.0001886554,0.0006910543,0.0002812182,0.06145208],"category_scores_gemma":[0.0001986851,0.0002608952,0.000127227,0.0006562581,0.0002818216,0.006016988,0.0001577793,0.0003080755,0.003958127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003361092,"about_ca_system_score_gemma":0.0001499922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006453997,"about_ca_topic_score_gemma":0.1408248,"domain_scores_codex":[0.9974722,0.000438678,0.0005689781,0.0004325687,0.0006125778,0.0004749922],"domain_scores_gemma":[0.9985188,0.0001342573,0.0002467337,0.000574992,0.0002673267,0.0002578896],"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":[0.0004842599,0.002064027,0.007796122,0.000078932,0.00008363707,0.00005867499,0.1187265,0.00002257223,0.001014738,0.2452475,0.6024951,0.02192796],"study_design_scores_gemma":[0.001275924,0.0001041219,0.06906265,0.0001785714,0.00003630183,0.000004275074,0.02367206,0.0001247795,0.000267441,0.002427069,0.9023154,0.0005313915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04288835,0.0003176108,0.0002047078,0.2276267,0.001670663,0.001490185,0.0004487394,0.0001977713,0.7251553],"genre_scores_gemma":[0.899812,0.006348423,0.0007425832,0.06512207,0.0007477328,0.0006087581,0.0008674421,0.00004510133,0.02570593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8569236,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2646901063839521,"score_gpt":0.368441986386592,"score_spread":0.10375188000264,"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."}}