{"id":"W4405234060","doi":"10.1111/dmcn.16186","title":"Machine learning derived physical activity in preschool children with developmental coordination disorder","year":2024,"lang":"en","type":"article","venue":"Developmental Medicine & Child Neurology","topic":"Children's Physical and Motor Development","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Typically developing; Physical activity; Ambulatory; Analysis of variance; Raw score; Motor coordination; Motor skill; Movement assessment; Psychology; Developmental psychology; Physical therapy; Medicine; Raw data; Machine learning; Statistics; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006737717,0.0004731827,0.0003864814,0.0007866129,0.000197229,0.0004610434,0.0002513801,0.0003285398,0.0009575055],"category_scores_gemma":[0.003279798,0.0001426152,0.0003240844,0.0006311379,0.0001723359,0.0002361973,0.000355996,0.000370879,0.0002273356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556197,"about_ca_system_score_gemma":0.0003180335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0190363,"about_ca_topic_score_gemma":0.02592919,"domain_scores_codex":[0.999603,0.00009986413,0.00004780319,0.000115665,0.00008101935,0.00005274192],"domain_scores_gemma":[0.9992125,0.0003165865,0.0002710546,0.00004577625,0.0001036646,0.00005031782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001695468,0.00007195614,0.9883947,0.00003028402,0.00005672236,0.00007521892,0.00007343878,0.0005246722,0.0005235887,0.0000197556,0.0001775078,0.00988257],"study_design_scores_gemma":[0.000006937276,0.00009938399,0.998042,0.0000100566,0.00001569937,0.0001440788,0.00009343842,0.001280391,0.0001692006,0.00002284391,0.0001135078,0.000002576254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985809,0.0002362562,0.0004029615,0.00003280689,0.000004576824,0.000008655444,0.00046468,0.00001281603,0.00025624],"genre_scores_gemma":[0.9976801,0.0001362092,0.0009127337,0.00001375072,0.000002853271,0.00001988404,0.00104858,0.000002872675,0.0001830683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0190363,"threshold_uncertainty_score":0.03785098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009121837363574766,"score_gpt":0.256024299849763,"score_spread":0.2469024624861883,"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."}}