{"id":"W4361268514","doi":"10.1371/journal.pone.0283157","title":"InTrack project ˗ Theoretical framework, design, and methods: A study protocol","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McGill University Health Centre","funders":"","keywords":"Variance (accounting); Macro; Sample (material); Relevance (law); Data collection; Multilevel model; Computer science; Protocol (science); Regression analysis; Sample size determination; Statistics; Econometrics; Mathematics; Medicine; Economics; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.07795858,0.002233763,0.002785219,0.003549886,0.006149345,0.00338174,0.004479181,0.004148621,0.06473669],"category_scores_gemma":[0.05586442,0.003371646,0.002075822,0.003967215,0.003934736,0.00211046,0.004442627,0.006547665,0.01670684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005074054,"about_ca_system_score_gemma":0.03445066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004877738,"about_ca_topic_score_gemma":0.006180802,"domain_scores_codex":[0.9645873,0.02506836,0.003017171,0.002397605,0.00323937,0.001690256],"domain_scores_gemma":[0.9478326,0.01873302,0.00374623,0.01035439,0.01520207,0.004131678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0574085,0.02690324,0.01760447,0.03912446,0.0007920035,0.001964658,0.01936013,0.009558604,0.005363467,0.0863715,0.1910308,0.5445182],"study_design_scores_gemma":[0.03962054,0.0294578,0.04571401,0.02727604,0.0009754804,0.001042787,0.01605194,0.009820658,0.006526032,0.05510543,0.7676299,0.0007792673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.00446319,0.0002288283,0.022784,0.0005635507,0.0002664659,0.964704,0.002742723,0.0001444344,0.004102844],"genre_scores_gemma":[0.001652634,0.000102398,0.01499179,0.0001586054,0.00002240725,0.9823883,0.0002275094,0.000008448182,0.0004480172],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07795858,"threshold_uncertainty_score":0.4122893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3029890107773207,"score_gpt":0.5389225002208666,"score_spread":0.235933489443546,"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."}}