{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006981306,0.0006104059,0.0003680577,0.0004521887,0.008896147,0.003266078,0.0007345302,0.001955203,0.05348496],"category_scores_gemma":[0.003284984,0.0002739112,0.0003692069,0.0004992271,0.002894081,0.002407365,0.001882886,0.002847074,0.007038652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009001561,"about_ca_system_score_gemma":0.004157353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7314011,"about_ca_topic_score_gemma":0.8313493,"domain_scores_codex":[0.9993674,0.0001444286,0.000009329863,0.00006598664,0.0001764825,0.0002364653],"domain_scores_gemma":[0.9984149,0.00009677253,0.0001420286,0.00004977201,0.0005726645,0.00072398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001094938,0.00006910755,0.04343342,0.000196273,0.00008698711,0.002097915,0.0638288,0.0001067389,0.002591238,0.004954817,0.8203777,0.06214748],"study_design_scores_gemma":[0.00002033077,0.00008125338,0.05046983,0.0002689055,0.00005242862,0.0009487022,0.2092816,0.0001684782,0.0007076386,0.00122637,0.7365963,0.0001781744],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2422787,0.0126585,0.004093939,0.3939733,0.01007199,0.0001690206,0.002424011,0.001425819,0.3329047],"genre_scores_gemma":[0.6624344,0.004544125,0.001574422,0.05697213,0.0006975497,0.00004945743,0.0005899603,0.0003663905,0.2727717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2685989,"threshold_uncertainty_score":0.5403615,"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."}}