{"id":"W6907521079","doi":"10.25384/sage.19153418","title":"sj-docx-1-msj-10.1177_13524585211069070 – Supplemental material for Productivity loss among people with early multiple sclerosis: A Canadian study","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Production (economics); Government (linguistics)","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":["insufficient_payload"],"category_scores_codex":[0.001667785,0.001479143,0.001500769,0.007765447,0.003486552,0.004298998,0.00384848,0.0019124,0.8716344],"category_scores_gemma":[0.03251212,0.001502114,0.001535751,0.01353386,0.0006736183,0.002381531,0.002346063,0.001647961,0.3911617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009833276,"about_ca_system_score_gemma":0.02227548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7577373,"about_ca_topic_score_gemma":0.8146111,"domain_scores_codex":[0.9978626,0.00009939105,0.0003037256,0.0002011762,0.0009897859,0.0005432877],"domain_scores_gemma":[0.9613006,0.008184565,0.001982279,0.001408792,0.02318862,0.003935143],"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":[0.00005236846,0.00003459311,0.0009192648,0.0003829348,0.00000877422,0.00001420313,0.00003652179,0.00002871181,0.00003104445,0.0001039764,0.9946172,0.003770398],"study_design_scores_gemma":[0.001818019,0.00009797004,0.06273197,0.002105631,0.0001071497,0.000199416,0.000986493,0.0003383203,0.0005196547,0.001270807,0.9296253,0.0001992237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002173284,0.00005343743,0.00006964253,0.0004721367,0.0001947301,0.0001971203,0.9895144,0.00043683,0.008844429],"genre_scores_gemma":[0.004654522,0.0004999827,0.001526295,0.0014833,0.0003388279,0.001056301,0.9253436,0.001258721,0.06383853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2422627,"threshold_uncertainty_score":0.4873788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09380737347986794,"score_gpt":0.3288617037277095,"score_spread":0.2350543302478416,"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."}}