{"id":"W6888992098","doi":"10.25384/sage.14701343.v1","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":"Figshare","topic":"Multiple Sclerosis Research Studies","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":[0.001436051,0.0007994857,0.0008040012,0.002915767,0.00204223,0.001960075,0.002184961,0.001096373,0.3977326],"category_scores_gemma":[0.01333094,0.0007019523,0.0008738309,0.00602028,0.0003383991,0.0006839194,0.0009615761,0.0008355695,0.06776106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005936008,"about_ca_system_score_gemma":0.02261595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9055927,"about_ca_topic_score_gemma":0.935042,"domain_scores_codex":[0.9990331,0.00008660978,0.0001176147,0.0001286226,0.0004143629,0.0002197224],"domain_scores_gemma":[0.9867799,0.003089562,0.0006069244,0.0006744663,0.007279254,0.001569977],"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":[0.0002842024,0.00009029948,0.01447077,0.0003425832,0.0000418403,0.00006161255,0.00008370778,0.0001724408,0.0001360636,0.0001863173,0.9705728,0.01355741],"study_design_scores_gemma":[0.001710452,0.000200741,0.4938204,0.001136603,0.0002140403,0.0003552718,0.001032671,0.001418365,0.0007836315,0.0008745944,0.4982517,0.0002014623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00270297,0.00009934432,0.0002335499,0.0004560631,0.0001490864,0.0002052525,0.9876018,0.0004162949,0.008135574],"genre_scores_gemma":[0.02813862,0.0005972203,0.004293963,0.0009021417,0.0001860809,0.0008868038,0.8953464,0.0007262739,0.06892239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3977326,"threshold_uncertainty_score":0.8590614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04994157651840401,"score_gpt":0.2831150953405307,"score_spread":0.2331735188221267,"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."}}