{"id":"W4320882907","doi":"10.1016/j.earlhumdev.2023.105723","title":"Enhancing motor screening efficiency: Toward an empirically derived abridged version of the Alberta Infant Motor Scale","year":2023,"lang":"en","type":"article","venue":"Early Human Development","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Child Health and Human Development; National Institute of Mental Health; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of Washington","keywords":"Scale (ratio); Psychology; Medicine; Physical medicine and rehabilitation; 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":[0.004901923,0.0007883268,0.0006542266,0.00117499,0.0003866496,0.001570854,0.001558917,0.0008128161,0.002399368],"category_scores_gemma":[0.03239937,0.0002904409,0.0007538469,0.0009667524,0.0007616004,0.0008402506,0.001549548,0.001527405,0.0007627815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759881,"about_ca_system_score_gemma":0.002872947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932306,"about_ca_topic_score_gemma":0.04985672,"domain_scores_codex":[0.9959961,0.001355655,0.0004175151,0.0002981704,0.00181515,0.000117428],"domain_scores_gemma":[0.9939418,0.002617604,0.0005673266,0.0003316458,0.002368863,0.0001727305],"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":[0.001134031,0.001584638,0.2677859,0.0005911549,0.0004181825,0.000245745,0.001633843,0.01759139,0.005787948,0.01696239,0.01505467,0.6712102],"study_design_scores_gemma":[0.0003298292,0.002234393,0.8440509,0.0006631703,0.0005554004,0.0006007052,0.001933923,0.09132992,0.01037614,0.02036417,0.02724044,0.000321011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6829622,0.00198976,0.2411559,0.002693844,0.0005958978,0.005067334,0.006608426,0.0019615,0.05696516],"genre_scores_gemma":[0.7395347,0.0008279575,0.2493599,0.0004875906,0.00003925134,0.002712435,0.002557436,0.0001834324,0.004297345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01932306,"threshold_uncertainty_score":0.03842115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257150173841481,"score_gpt":0.2697001164109127,"score_spread":0.2471286146724979,"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."}}