{"id":"W7024053921","doi":"","title":"Quarterly report. 2016: 4th Quarter.","year":2016,"lang":"en","type":"article","venue":"State Elections Enforcement Commission (State of Connecticut)","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Medicaid; Social security; Social Welfare; Social assistance","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":[0.001362612,0.001166055,0.0005581282,0.002700404,0.001385373,0.004659615,0.0009954044,0.001282484,0.230931],"category_scores_gemma":[0.007679543,0.0005938816,0.000449885,0.00410815,0.0003980755,0.002472468,0.001571462,0.002058441,0.2593283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002555396,"about_ca_system_score_gemma":0.008655553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05939341,"about_ca_topic_score_gemma":0.06225691,"domain_scores_codex":[0.9985048,0.0001001517,0.0001818973,0.0001203191,0.0008326737,0.0002603273],"domain_scores_gemma":[0.9947988,0.0002426883,0.000379831,0.0001834439,0.00373869,0.0006566303],"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":[0.00003683086,0.0000162071,0.0004696257,0.00004869232,0.000001023738,0.000007377413,0.00001075995,0.00001257828,0.00001705889,0.0002525025,0.9925224,0.006604956],"study_design_scores_gemma":[0.00002029525,0.00001757597,0.007495752,0.0001892561,0.000003241036,0.00001818652,0.0001599856,0.00003671554,0.000119049,0.0002198341,0.9917114,0.000008844666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003616081,0.007906367,0.0003997796,0.03183919,0.02424951,0.0004322384,0.4999508,0.00151259,0.4300935],"genre_scores_gemma":[0.01212344,0.006283707,0.0004243402,0.003807615,0.002308011,0.0004223776,0.1310933,0.0005974804,0.8429398],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.230931,"threshold_uncertainty_score":0.772541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199308132258383,"score_gpt":0.3518088962274954,"score_spread":0.3298158149049116,"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."}}