{"id":"W2017395302","doi":"10.1016/j.jht.2010.04.005","title":"Manipulation of Objects with and without the Use of the Index Finger","year":2010,"lang":"en","type":"article","venue":"Journal of Hand Therapy","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Task (project management); Index finger; Motion (physics); Artificial intelligence; Computer vision; Computer science; Movement (music); Tracking (education); Consistency (knowledge bases); Physical medicine and rehabilitation; Communication; Psychology; Medicine; Engineering","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":[0.0005799982,0.0005727734,0.0006572238,0.0005035844,0.0004146968,0.0008649778,0.0006882636,0.000677456,0.004487198],"category_scores_gemma":[0.003230984,0.0002524586,0.0005328856,0.0002250875,0.001373027,0.001148071,0.001079556,0.0004542551,0.0003840822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000212852,"about_ca_system_score_gemma":0.000513196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006112442,"about_ca_topic_score_gemma":0.00052359,"domain_scores_codex":[0.99933,0.00008232109,0.00007863752,0.0001449959,0.0001755433,0.00018849],"domain_scores_gemma":[0.999302,0.000348164,0.00009816684,0.0001507057,0.00003440943,0.00006654335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0199642,0.00124301,0.001244615,0.0003223498,0.00006241401,0.0003247871,0.0005368692,0.0005638272,0.9369963,0.001178734,0.0002090178,0.03735388],"study_design_scores_gemma":[0.001904822,0.03606401,0.07137113,0.0002101104,0.0004508556,0.003448719,0.001314863,0.007853389,0.8645735,0.004338352,0.008239877,0.0002304034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930598,0.000316341,0.004526676,0.00004187223,0.00007704509,0.00007103712,0.00008082499,0.00004639097,0.001779976],"genre_scores_gemma":[0.9940041,0.0002173246,0.003456599,0.00004158735,0.00001852733,0.00007231435,0.00009122345,0.00003939076,0.002058952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004487198,"threshold_uncertainty_score":0.01501113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05607816357367799,"score_gpt":0.2551113636935222,"score_spread":0.1990332001198442,"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."}}