{"id":"W6958249681","doi":"10.6084/m9.figshare.28284551.v1","title":"Reliability of the Alberta Infant Motor Scale (AIMS) When Used via Telehealth for Neurodevelopmentally High-Risk Infants","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Reliability (semiconductor); Supine position; Percentile; Scale (ratio); Sitting; Cronbach's alpha","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":[0.006212027,0.0003984154,0.0003240501,0.0006310918,0.0001681045,0.0005533519,0.0004333745,0.0004333292,0.0006760744],"category_scores_gemma":[0.02522439,0.0001964222,0.0004156301,0.000333777,0.0003199592,0.000553646,0.000650859,0.0003328993,0.0003767472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002444835,"about_ca_system_score_gemma":0.0002595994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00255764,"about_ca_topic_score_gemma":0.004470464,"domain_scores_codex":[0.9948515,0.001990321,0.0007136705,0.0007216156,0.001573527,0.0001493452],"domain_scores_gemma":[0.9885206,0.004430209,0.002305453,0.0007190847,0.003692324,0.0003322506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001010394,0.0001103726,0.9034584,0.0002494474,0.0003251084,0.0003094488,0.002679271,0.0008606134,0.009134126,0.00005937247,0.0007848535,0.0810186],"study_design_scores_gemma":[0.0000133478,0.0005791949,0.9949719,0.00005195017,0.00004867805,0.0003666344,0.0003990677,0.001355,0.001762568,0.0000335254,0.0004031546,0.00001490936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9934496,0.0004445929,0.003424607,0.00004206064,0.00004881298,0.00006961211,0.0002282236,0.00006044799,0.002232131],"genre_scores_gemma":[0.9951693,0.0001805466,0.00372107,0.00003034284,0.00001999428,0.0000719478,0.0002891086,0.00001750476,0.000500048],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9974424,"threshold_uncertainty_score":0.03285271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661938242063541,"score_gpt":0.2665525208512363,"score_spread":0.2499331384306009,"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."}}