{"id":"W4398562377","doi":"10.7910/dvn/dus88v/rzfnov","title":"2019 Canadian Election Study - Online Survey v1.0.dta","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University; Université du Québec à Montréal; Western University","funders":"","keywords":"Business","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00204013,0.0002525536,0.0004310358,0.0003725505,0.0006645001,0.0002370679,0.0008609819,0.0002255923,0.01621045],"category_scores_gemma":[0.001860909,0.0002663782,0.0001237589,0.001080403,0.00009705275,0.0002283021,0.0001692014,0.0004941137,0.06942015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003923102,"about_ca_system_score_gemma":0.002028208,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9649549,"about_ca_topic_score_gemma":0.9945359,"domain_scores_codex":[0.9959354,0.001958587,0.0003633463,0.0005946209,0.0007344342,0.0004136521],"domain_scores_gemma":[0.998041,0.0004026362,0.0002031635,0.000535901,0.0002491575,0.0005680784],"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":[0.0000166857,0.000161146,0.0005182305,0.000005227313,0.0001619654,0.00005279056,0.0002219057,0.00001546889,1.15848e-7,0.00001434514,0.9977497,0.001082426],"study_design_scores_gemma":[0.0001836664,0.00005737616,0.01097877,0.000007790388,0.0002019881,5.81183e-7,0.0005202591,0.00003980931,5.768716e-8,0.00003750992,0.9876868,0.0002854395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001093399,0.000001180989,0.0000540416,0.00006566143,0.0009914176,0.0003894335,0.9981539,0.00003891086,0.0001961338],"genre_scores_gemma":[0.0001801669,0.0001551324,0.00020924,0.0005040731,0.0008719941,0.000007284265,0.9968626,0.0000141623,0.001195377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0532097,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0707055351119945,"score_gpt":0.3676686501804858,"score_spread":0.2969631150684913,"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."}}