{"id":"W6920979791","doi":"10.6084/m9.figshare.15080355","title":"Additional file 4 of Equity in health services use and intensity of use in Canada","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Equity (law); Health services; Health insurance; Health services research; Intensity (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001445687,0.001171706,0.001577058,0.006067147,0.002298021,0.003871172,0.002469318,0.001375282,0.8312132],"category_scores_gemma":[0.027227,0.0009734348,0.002353502,0.01413271,0.000703961,0.002035272,0.001506575,0.002021523,0.120291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01894118,"about_ca_system_score_gemma":0.04977097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9557158,"about_ca_topic_score_gemma":0.9542477,"domain_scores_codex":[0.9981395,0.0001154816,0.0001518518,0.0002108439,0.0007268058,0.0006555588],"domain_scores_gemma":[0.9771786,0.00750972,0.000939525,0.001073951,0.01205347,0.001244794],"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":[0.00004499659,0.00002900487,0.001832961,0.0003031429,0.00002128611,0.0000205848,0.00004543271,0.0003781641,0.000005482199,0.0009687422,0.9932252,0.003124991],"study_design_scores_gemma":[0.002472827,0.00004675623,0.05963908,0.00223786,0.0001379767,0.0001365997,0.001117011,0.003278413,0.0002700841,0.005844807,0.9246344,0.0001841589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002509541,0.0000297358,0.00006231177,0.0002011667,0.00006010992,0.00007022537,0.9937748,0.0001176414,0.005433075],"genre_scores_gemma":[0.02311635,0.0005360621,0.002312366,0.0008362478,0.0001680802,0.001151686,0.8921931,0.000925683,0.07876046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8312132,"threshold_uncertainty_score":0.2407538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1558556234646328,"score_gpt":0.2790828870659979,"score_spread":0.1232272636013651,"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."}}