{"id":"W2413870367","doi":"","title":"Methodological issues associated with using different cut-off points to categorize outcome variables.","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Generalizability theory; Comparability; Categorization; Variance (accounting); Cut-point; Operationalization; Medicine; Psychological intervention; Regression analysis; Sample (material); Statistics; Psychology; Mathematics; Psychiatry; Computer science","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":[0.5805638,0.002698719,0.00494685,0.01175103,0.004971111,0.007138364,0.007889946,0.003443948,0.001240269],"category_scores_gemma":[0.6909377,0.001923668,0.00554463,0.01800358,0.008229331,0.004241539,0.007694071,0.007593732,0.0006839663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008118332,"about_ca_system_score_gemma":0.008119311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036637,"about_ca_topic_score_gemma":0.01009868,"domain_scores_codex":[0.2951656,0.5613114,0.08146635,0.01402969,0.04544257,0.002584374],"domain_scores_gemma":[0.2706164,0.6150017,0.03169577,0.04508469,0.0351881,0.002413288],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.009765443,0.002292635,0.3327035,0.02594014,0.009056972,0.001101883,0.02783026,0.009177654,0.00410369,0.07746787,0.02561015,0.4749498],"study_design_scores_gemma":[0.003169136,0.0074624,0.4948249,0.03722633,0.007846283,0.00242445,0.0282602,0.03920991,0.01752537,0.2629958,0.09750582,0.001549352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1837943,0.05645774,0.6204702,0.02116038,0.01437285,0.07192961,0.004452901,0.0009468174,0.02641517],"genre_scores_gemma":[0.3972566,0.005681752,0.467219,0.008850889,0.001795508,0.1149002,0.001846875,0.0003731132,0.002076103],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4194362,"threshold_uncertainty_score":0.5172396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2248631947103553,"score_gpt":0.3873615507764884,"score_spread":0.1624983560661331,"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."}}