{"id":"W2995179098","doi":"10.1101/19013060","title":"Statistical considerations for drawing conclusions about recovery","year":2019,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Calgary; Athletic Edge Sports Medicine","funders":"","keywords":"Spurious relationship; Context (archaeology); Imperfect; Illusion; Econometrics; Computer science; Population; Statistics; Scale (ratio); Psychology; Cognitive psychology; Mathematics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5412004,0.002556822,0.005856831,0.008198511,0.003949288,0.01172606,0.01195665,0.01016038,0.01064192],"category_scores_gemma":[0.8513554,0.002481246,0.009050705,0.009368203,0.02515254,0.01667109,0.01083115,0.02536648,0.002266248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004946322,"about_ca_system_score_gemma":0.006254016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002265178,"about_ca_topic_score_gemma":0.001201039,"domain_scores_codex":[0.2476912,0.6707281,0.02698564,0.01841822,0.03427773,0.001899012],"domain_scores_gemma":[0.1037606,0.8184175,0.01581061,0.04800299,0.01272386,0.001284524],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00393898,0.0007374236,0.02153547,0.01075267,0.01411829,0.00259327,0.01157249,0.03422135,0.001474435,0.5740899,0.09214024,0.2328256],"study_design_scores_gemma":[0.0008484427,0.001317685,0.005610774,0.006089882,0.001414289,0.0004740795,0.00210891,0.06335475,0.003176842,0.8503687,0.06496393,0.000271661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01960354,0.003159547,0.9089674,0.03499155,0.007888664,0.007501015,0.002471054,0.001443963,0.01397317],"genre_scores_gemma":[0.2846002,0.0009474275,0.665146,0.02185292,0.002955778,0.02106124,0.0009501664,0.0007452176,0.00174099],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4587996,"threshold_uncertainty_score":0.5657816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03810948141351515,"score_gpt":0.3339861338608009,"score_spread":0.2958766524472857,"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."}}