{"id":"W3157329726","doi":"10.3390/cli9050070","title":"Climate Change in the 2019 Canadian Federal Election","year":2021,"lang":"en","type":"article","venue":"Climate","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; MacEwan University","funders":"Government of Canada","keywords":"Climate change; Salience (neuroscience); Federal election; Elite; Political science; Politics; Survey data collection; Primary election; Globe; Climate change mitigation; Public administration; General election; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009720408,0.00007030389,0.00008419196,0.00008010978,0.001003469,0.0001968896,0.0002228891,0.00009228492,0.001314713],"category_scores_gemma":[0.00006536895,0.00006329136,0.00004480073,0.0004457876,0.0000643361,0.0001961061,0.00003809421,0.0001656329,0.0004293107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118852,"about_ca_system_score_gemma":0.00009338321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2011911,"about_ca_topic_score_gemma":0.958927,"domain_scores_codex":[0.9986387,0.0004543853,0.0001375165,0.0001419177,0.000156615,0.0004708176],"domain_scores_gemma":[0.999469,0.00006789383,0.0000396374,0.0002576007,0.00007053131,0.00009532087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004738182,0.0003412573,0.2042845,0.00007029276,0.00001342877,0.0001051778,0.4124521,0.000003991004,0.001448313,0.170369,0.0162764,0.1945882],"study_design_scores_gemma":[0.0003647964,0.00002530897,0.5562739,0.00008105325,0.00001059065,0.00001306965,0.02987197,0.0001550624,0.00002982084,0.0008031509,0.412087,0.0002843496],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5468801,0.0007305291,0.000001425652,0.06300772,0.0007794827,0.000451215,0.0001105578,0.00008875784,0.3879502],"genre_scores_gemma":[0.9625331,0.03133859,0.00002931346,0.005258589,0.0003263953,0.00005287294,0.0002420126,0.000009840775,0.0002092468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7577359,"threshold_uncertainty_score":0.9995982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3709342981709783,"score_gpt":0.4491575776007675,"score_spread":0.07822327942978918,"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."}}