{"id":"W7071802741","doi":"","title":"Statewide Survey of Wyoming Residents 2014","year":2014,"lang":"en","type":"report","venue":"Digital Collections of Colorado (Colorado State University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telephone survey; Survey research; Survey methodology; Survey data collection; Center (category theory); Margin (machine learning); 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":[0.001166859,0.0004286755,0.0004313432,0.001900515,0.001219216,0.0008200399,0.0007968966,0.0004977166,0.01313275],"category_scores_gemma":[0.002069782,0.0006789012,0.0003224663,0.005315086,0.0001550215,0.0006193586,0.0008849979,0.0009318237,0.006094734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003275103,"about_ca_system_score_gemma":0.01002545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5690762,"about_ca_topic_score_gemma":0.7891015,"domain_scores_codex":[0.9992067,0.0001278241,0.00008195688,0.00009648118,0.0003614618,0.000125556],"domain_scores_gemma":[0.9986317,0.00005671848,0.0001340553,0.00006550035,0.001002921,0.0001090468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009426339,0.0001633005,0.07642996,0.0002871431,0.0001158811,0.00006859763,0.0003563871,0.0001468775,0.000414394,0.000831377,0.9027307,0.01836099],"study_design_scores_gemma":[0.00009546753,0.00004146139,0.7106295,0.0003407392,0.00008982759,0.00006513829,0.0007880012,0.0003397975,0.0003202335,0.0001970385,0.2870553,0.00003750794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03597812,0.0006995259,0.0009875788,0.001307808,0.0001350498,0.001052742,0.9301379,0.0001692706,0.02953203],"genre_scores_gemma":[0.07415407,0.00342763,0.00738935,0.002102785,0.0001301654,0.006370124,0.8330711,0.000104619,0.07325017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5690762,"threshold_uncertainty_score":0.8669231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03767552407818355,"score_gpt":0.2531828925112699,"score_spread":0.2155073684330863,"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."}}