{"id":"W7108456589","doi":"10.25940/roper-31118166","title":"Social Weather Stations Survey: 2014 First Quarter","year":2014,"lang":"","type":"other","venue":"Roper Center for Public Opinion Research  iPOLL","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Poverty; Newspaper; Preparedness; Working class; Social media; Wage; Living wage; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0006002397,0.0009301977,0.0005356541,0.002409312,0.0006019099,0.0008120745,0.0009089603,0.0005033953,0.01167219],"category_scores_gemma":[0.001407899,0.0003594074,0.0005647636,0.005609821,0.0001361064,0.0008200551,0.0009010204,0.0007521545,0.006557018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187988,"about_ca_system_score_gemma":0.001475058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09539212,"about_ca_topic_score_gemma":0.122859,"domain_scores_codex":[0.999423,0.0000735242,0.0001047776,0.0001024848,0.0001866794,0.0001095623],"domain_scores_gemma":[0.9978548,0.00006875081,0.000690827,0.00009182818,0.0009928431,0.0003009162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001938253,0.0002389138,0.7181141,0.0006906788,0.0002053539,0.0001716375,0.0007392461,0.0005803572,0.0005701511,0.0002274071,0.2633345,0.01493392],"study_design_scores_gemma":[0.00001900839,0.00002789652,0.9691283,0.00007616813,0.00002163952,0.00006292456,0.0006979889,0.0002831855,0.0001024989,0.00003029098,0.02953147,0.00001856247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1566343,0.0004932327,0.000514141,0.0002676905,0.0002115388,0.0005911376,0.8243653,0.0003641842,0.01655851],"genre_scores_gemma":[0.2513903,0.001295059,0.002165945,0.0004962833,0.0002293243,0.004013448,0.7193762,0.0001373892,0.02089609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09539212,"threshold_uncertainty_score":0.1896737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1915764972865477,"score_gpt":0.4224263601244796,"score_spread":0.2308498628379319,"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."}}