{"id":"W7164632600","doi":"","title":"Version 2","year":2014,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Quarter (Canadian coin); Government (linguistics); Health care; Mental health; Health insurance; Health policy; Survey data collection","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":[0.004552698,0.0008838948,0.0006783424,0.003360271,0.001250629,0.00492866,0.002076234,0.001767202,0.7331159],"category_scores_gemma":[0.02168903,0.0005680792,0.0009245913,0.002996623,0.000588309,0.003521539,0.00247263,0.001887646,0.6671677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466326,"about_ca_system_score_gemma":0.003931572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008609824,"about_ca_topic_score_gemma":0.009607116,"domain_scores_codex":[0.9971731,0.0006308661,0.0002604867,0.0004142379,0.00121557,0.0003057425],"domain_scores_gemma":[0.9921691,0.001579537,0.0002737244,0.001726657,0.003488803,0.0007623037],"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":[0.00004769879,0.00003505756,0.0005190105,0.0001384853,0.000006318301,0.00002460325,0.00008192704,0.00005989259,0.000076597,0.006335905,0.9384899,0.05418472],"study_design_scores_gemma":[0.00001653735,0.00001047288,0.000629214,0.0001210943,0.000003582626,0.00003817377,0.00004684924,0.00005098996,0.00006243531,0.001671257,0.9973417,0.000007736006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009811708,0.0007297042,0.008566584,0.005723957,0.003829025,0.0008349505,0.1108912,0.01111152,0.8573319],"genre_scores_gemma":[0.007501522,0.001414823,0.009161145,0.003995636,0.0009624739,0.001464695,0.1069642,0.005750048,0.8627854],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2668841,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805253418161078,"score_gpt":0.3097590618203893,"score_spread":0.2817065276387785,"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."}}