{"id":"W6939774772","doi":"10.6084/m9.figshare.11863281.v1","title":"Additional file 1 of Providing dental insurance can positively impact oral health outcomes in Ontario","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oral health; Dental insurance; Confidence interval; Health insurance; Dental care; Oral cavity; Dental health","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":[0.0007473251,0.000437721,0.0007130835,0.001739047,0.001946584,0.0009048337,0.001421252,0.0007004006,0.4133242],"category_scores_gemma":[0.01353647,0.0004596775,0.0008701269,0.005045501,0.000217628,0.0008402618,0.0008652284,0.0006118311,0.01898026],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007459217,"about_ca_system_score_gemma":0.01435219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8565748,"about_ca_topic_score_gemma":0.911753,"domain_scores_codex":[0.9990199,0.00009618241,0.0001458945,0.0001342178,0.0003479062,0.0002559613],"domain_scores_gemma":[0.9915401,0.002407497,0.001623238,0.0004010279,0.003351822,0.0006762402],"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":[0.0002272288,0.00007804073,0.03328494,0.0009408139,0.00005702921,0.00007974808,0.0002846377,0.0001838869,0.00006898608,0.000669946,0.9578573,0.006267351],"study_design_scores_gemma":[0.002000512,0.0001810534,0.5848035,0.002849872,0.0002571347,0.0002970908,0.002256738,0.001636886,0.0003173439,0.001319871,0.4039575,0.000122621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002043144,0.00002883996,0.00005470244,0.0002047186,0.00001421878,0.00009175763,0.9936405,0.00003187468,0.003890225],"genre_scores_gemma":[0.0757734,0.0004464865,0.001432759,0.0007781481,0.00009634322,0.00231988,0.8813812,0.0001374589,0.03763445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9925408,"threshold_uncertainty_score":0.8368218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04860344968128014,"score_gpt":0.2501193848528427,"score_spread":0.2015159351715626,"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."}}