{"id":"W2516371092","doi":"10.1589/rika.24.15","title":"Percentile Ranks of the Alberta Infant Motor Scale for Japanese Infant","year":2009,"lang":"en","type":"article","venue":"Rigakuryoho Kagaku","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Percentile; Percentile rank; Scale (ratio); Medicine; Statistics; Mathematics; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002273829,0.0006136303,0.0004037141,0.002951913,0.0006679743,0.001251236,0.0005889547,0.0004168756,0.008064177],"category_scores_gemma":[0.01588802,0.0001783936,0.0007029866,0.001406397,0.0007437734,0.0009644299,0.00114176,0.0009424731,0.002198486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336417,"about_ca_system_score_gemma":0.001546377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0223658,"about_ca_topic_score_gemma":0.02917379,"domain_scores_codex":[0.9981815,0.0004398721,0.0002071906,0.0001336739,0.0007648626,0.0002729986],"domain_scores_gemma":[0.9953543,0.001310223,0.0008420247,0.0003007306,0.001739535,0.000453287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001292892,0.0001823946,0.7675378,0.0002722304,0.0002927528,0.0003623799,0.002190786,0.002190889,0.001344129,0.004884274,0.03932909,0.1801204],"study_design_scores_gemma":[0.00003686587,0.0003063401,0.9804665,0.00007700409,0.0000628682,0.0004184642,0.001826079,0.001736542,0.0007039451,0.002191335,0.01210639,0.0000676617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8446949,0.00294231,0.008510649,0.001124162,0.0006445922,0.0003420852,0.01911719,0.0007414414,0.1218827],"genre_scores_gemma":[0.9782249,0.0004670342,0.004439306,0.00007674206,0.00008250024,0.0003812067,0.006303269,0.00008891866,0.009936206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9776342,"threshold_uncertainty_score":0.04447126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008019123462268303,"score_gpt":0.244784353198913,"score_spread":0.2367652297366447,"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."}}