{"id":"W6926506949","doi":"10.25384/sage.14701343","title":"sj-pdf-1-msj-10.1177_13524585211016726 – Supplemental material for Care consumption of people with multiple sclerosis: A multichannel sequence analysis in a population-based setting in British Columbia, Canada","year":2021,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Sequence (biology); Health care","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":[0.00111039,0.0007408441,0.0006981376,0.002696639,0.001794116,0.001666291,0.001902301,0.0009118506,0.3414032],"category_scores_gemma":[0.008005107,0.0005734125,0.0006848221,0.005420845,0.0003198497,0.0005288493,0.0007844043,0.0007970644,0.06227373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005700967,"about_ca_system_score_gemma":0.02080867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9189851,"about_ca_topic_score_gemma":0.9420236,"domain_scores_codex":[0.9992022,0.00006768784,0.00008754797,0.0001068971,0.0003520949,0.0001836183],"domain_scores_gemma":[0.991345,0.001611424,0.0004047293,0.0003726083,0.005124528,0.001141634],"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":[0.000386141,0.0001350708,0.02221249,0.0004049334,0.00004836778,0.00009625487,0.000134273,0.0002231224,0.0003152102,0.0002161014,0.9544181,0.02140994],"study_design_scores_gemma":[0.001213584,0.0002224487,0.5176266,0.000859516,0.0001489444,0.0003474907,0.00119807,0.001344222,0.0009960993,0.000730561,0.4751325,0.0001799307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003718813,0.00009455591,0.0002682808,0.0004343066,0.0001222715,0.0001923439,0.9859425,0.0004311145,0.008795762],"genre_scores_gemma":[0.03065145,0.0005598196,0.004196784,0.0008492967,0.0001521789,0.0006695256,0.896409,0.0005496736,0.06596223],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3414032,"threshold_uncertainty_score":0.9394084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257498180036515,"score_gpt":0.2679492619851268,"score_spread":0.2353742801847617,"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."}}