{"id":"W7164629983","doi":"","title":"Version 2","year":2015,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Health care; Agency (philosophy); Government (linguistics); Welfare; Mental health; Entitlement (fair division); Survey data collection; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004456236,0.000849225,0.0006696459,0.003018889,0.001285876,0.005306224,0.00208124,0.001641542,0.723],"category_scores_gemma":[0.01945164,0.0005800936,0.0008790126,0.002819682,0.0005369602,0.004037249,0.002567355,0.001800053,0.6504611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426533,"about_ca_system_score_gemma":0.0035503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009015984,"about_ca_topic_score_gemma":0.01036665,"domain_scores_codex":[0.9971893,0.0006212934,0.0002459298,0.0004340735,0.001189461,0.0003199098],"domain_scores_gemma":[0.9931653,0.001397029,0.0002215754,0.001504312,0.003121993,0.0005897277],"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":[0.0000452417,0.00002986384,0.0004376844,0.0001306721,0.000005427853,0.00002234462,0.00009324315,0.00006106241,0.00008451272,0.007151118,0.9440871,0.04785166],"study_design_scores_gemma":[0.00001503036,0.000008777916,0.0005179825,0.0001078104,0.000002920968,0.00002909815,0.00004858727,0.00005558156,0.00006355239,0.001639824,0.9975035,0.000007433709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001058012,0.0006975358,0.008842914,0.005050406,0.003204433,0.0007364293,0.1214337,0.01249735,0.8464792],"genre_scores_gemma":[0.007942545,0.001258505,0.00916174,0.00377188,0.0008232887,0.001214896,0.130038,0.007394051,0.8383951],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.277,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05936850732319311,"score_gpt":0.3408395439310656,"score_spread":0.2814710366078725,"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."}}