{"id":"W1993078811","doi":"10.3758/brm.42.3.809","title":"Automatic detection and quantification of growth spurts","year":2010,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Infant Health and Development","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Growth spurt; Computer science; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.001282612,0.0005855355,0.0006925631,0.003231629,0.0002478144,0.0007840699,0.0007425499,0.0006850254,0.002424626],"category_scores_gemma":[0.003279306,0.0003273237,0.0003555884,0.001115932,0.0002113507,0.0003286852,0.0006227359,0.0004515273,0.001034624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299435,"about_ca_system_score_gemma":0.0005046129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00279955,"about_ca_topic_score_gemma":0.004547089,"domain_scores_codex":[0.9992668,0.0002002262,0.00003846272,0.000219204,0.000189623,0.0000856853],"domain_scores_gemma":[0.9974765,0.00136795,0.0003026743,0.000174264,0.000543121,0.0001354347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001457943,0.0002973102,0.1380005,0.0004286765,0.0001487723,0.0002143813,0.0002934395,0.004916054,0.07489931,0.00138351,0.005457638,0.7725025],"study_design_scores_gemma":[0.0002350736,0.0007576198,0.6201485,0.0001612562,0.0003017821,0.002307958,0.0005516126,0.3001879,0.06041545,0.004835292,0.009938283,0.000159249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5441055,0.003263636,0.4299269,0.0003946316,0.0002075756,0.0003554268,0.007090645,0.006852515,0.007803187],"genre_scores_gemma":[0.7613938,0.0008764469,0.2281538,0.000129295,0.0000979321,0.0003167476,0.004280091,0.0003712258,0.00438068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003231629,"threshold_uncertainty_score":0.008111179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4191227010303741,"score_gpt":0.6821904125655601,"score_spread":0.263067711535186,"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."}}