{"id":"W2905074778","doi":"10.1109/lra.2018.2885197","title":"Toward Robot-Assisted Diagnosis of Developmental Coordination Disorder","year":2018,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Children's Physical and Motor Development","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Standardization; Normative; Motor coordination; Psychology; Physical medicine and rehabilitation; Set (abstract data type); Motor function; Motor skill; Medicine; Developmental psychology; Computer science; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007792537,0.0001282712,0.0001645702,0.00009070506,0.00009058977,0.0000240272,0.0000798966,0.00005485092,0.000142015],"category_scores_gemma":[0.00001105898,0.0001193407,0.00004079968,0.0001698716,0.0001227393,0.000082219,0.00002615494,0.00005715813,0.00006685829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000406486,"about_ca_system_score_gemma":0.00001622539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004978659,"about_ca_topic_score_gemma":0.000009228535,"domain_scores_codex":[0.9991375,0.00003771931,0.000279051,0.000216707,0.0001593609,0.0001696649],"domain_scores_gemma":[0.9996101,0.00005541635,0.0001258282,0.00009294868,0.0000613064,0.00005438053],"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":[0.0001474321,0.002094336,0.2023924,0.0002476067,0.001023389,0.00002251481,0.02223258,0.001675151,0.07988955,0.01979304,0.08499458,0.5854875],"study_design_scores_gemma":[0.001028871,0.00009866723,0.9900355,0.00005519009,0.00003672897,0.00001192237,0.0001414178,0.001066949,0.00485411,0.0001620258,0.002229797,0.0002787686],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656959,0.00002118014,0.02733424,0.005426041,0.0007285081,0.0002138762,0.000007829429,0.00006968831,0.0005027669],"genre_scores_gemma":[0.991762,0.000005097168,0.007085667,0.0008244694,0.0001226327,0.00003734998,0.00002613503,0.0000136956,0.0001229497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7876432,"threshold_uncertainty_score":0.4866573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128925372853042,"score_gpt":0.2638670778632834,"score_spread":0.242577824134753,"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."}}