{"id":"W4210555285","doi":"10.31234/osf.io/6mdtv","title":"Waiting for Baseline Stability in Single-Case Designs: Is It Worth the Time and Effort?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut universitaire en santé mentale de Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"","keywords":"Baseline (sea); Computer science; Classifier (UML); Stability (learning theory); Type I and type II errors; Machine learning; Empirical research; Support vector machine; Word error rate; Monte Carlo method; Statistical power; Multiple baseline design; Artificial intelligence; Statistics; Psychology; Mathematics","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":[0.5645174,0.001861022,0.005902772,0.002692447,0.003191357,0.00560713,0.006746108,0.007590962,0.006731487],"category_scores_gemma":[0.8177282,0.001959897,0.006552484,0.005146401,0.009545374,0.01497437,0.002888819,0.009480885,0.00182871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005430666,"about_ca_system_score_gemma":0.01119299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002470822,"about_ca_topic_score_gemma":0.004279166,"domain_scores_codex":[0.4943649,0.4195729,0.03531521,0.01763111,0.03137562,0.001740211],"domain_scores_gemma":[0.1169226,0.71733,0.05666149,0.07537365,0.03050337,0.003208961],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01357815,0.001586013,0.02666764,0.01058487,0.006229423,0.0007442936,0.01060124,0.01095441,0.004661888,0.1329901,0.05732,0.724082],"study_design_scores_gemma":[0.0107647,0.0183477,0.04499007,0.01752572,0.004571419,0.001777667,0.003187811,0.05590083,0.01597957,0.7094335,0.1158077,0.001713297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04106147,0.01231056,0.8599021,0.06116518,0.009818179,0.00850481,0.0005584357,0.001737771,0.004941417],"genre_scores_gemma":[0.2665531,0.00239251,0.6861463,0.02063168,0.003225892,0.01869054,0.0003626008,0.0005117924,0.001485603],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4354826,"threshold_uncertainty_score":0.5370276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5246658418997343,"score_gpt":0.3878354918471934,"score_spread":0.1368303500525409,"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."}}