{"id":"W3205173369","doi":"10.1007/s00221-021-06241-2","title":"Growing into your hand: the developmental trajectory of the body model","year":2021,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Children's Physical and Motor Development","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Representation (politics); Trajectory; Position (finance); Psychology; Body position; Body segment; Action (physics); Task (project management); Motor control; Motor skill; Physical medicine and rehabilitation; Developmental psychology; Medicine; Physics; Neuroscience","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":[0.001306625,0.0003482963,0.0002855817,0.001169496,0.001053495,0.003351338,0.0006931511,0.0008709133,0.006512585],"category_scores_gemma":[0.006755854,0.0003063021,0.0004370896,0.0008726182,0.002789084,0.002590504,0.001767322,0.001330176,0.0008239795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419847,"about_ca_system_score_gemma":0.002423253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069801,"about_ca_topic_score_gemma":0.0105302,"domain_scores_codex":[0.9994773,0.0001229984,0.00002175154,0.0001029013,0.0001816246,0.00009340883],"domain_scores_gemma":[0.9984457,0.0005311192,0.0003193158,0.0002068807,0.0003060262,0.0001909985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009797503,0.0007991724,0.2956909,0.0005571265,0.0001128066,0.003830489,0.06818641,0.004362608,0.05313393,0.2763477,0.005337588,0.2906615],"study_design_scores_gemma":[0.000043047,0.0007770057,0.7939727,0.0006350708,0.0001367564,0.00587693,0.04120046,0.006341351,0.02205247,0.07068776,0.05816932,0.0001070775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459794,0.002088941,0.003875307,0.001848567,0.0000454941,0.00004199046,0.0004512498,0.0000926441,0.04557662],"genre_scores_gemma":[0.9926574,0.001386009,0.002979558,0.00005304952,0.000003219315,0.00003474056,0.0001397805,0.0000359165,0.00271049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01069801,"threshold_uncertainty_score":0.02178675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07735465223810892,"score_gpt":0.3995561389976023,"score_spread":0.3222014867594934,"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."}}