{"id":"W755983322","doi":"10.71781/28182","title":"Observational learning of motor skills : Looking for optimal models","year":2011,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Observational study; Observational learning; Motor learning; Motor skill; Psychology; Mathematics education; Medicine; Developmental psychology; Neuroscience; Experiential learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003393143,0.0002075082,0.0003483786,0.0001442936,0.0001428823,0.00006290428,0.0003992003,0.0003943137,0.01751495],"category_scores_gemma":[0.0001046508,0.0002290736,0.0001227299,0.0001467064,0.00001991887,0.0003896608,0.00003079601,0.0002190951,0.0001749154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004677575,"about_ca_system_score_gemma":0.00019792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008165474,"about_ca_topic_score_gemma":0.00005000906,"domain_scores_codex":[0.9985322,0.00007309061,0.0005851646,0.0004233667,0.0001944155,0.0001917832],"domain_scores_gemma":[0.9983088,0.0001275374,0.000779327,0.0002288685,0.0005049494,0.00005054448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00359072,0.001992882,0.008166016,0.0003968556,0.001452361,0.000007563282,0.08087321,0.01564578,0.003930058,0.03901279,0.008266274,0.8366655],"study_design_scores_gemma":[0.01330743,0.002421043,0.1584851,0.001730578,0.001367923,0.00002099046,0.04698845,0.1147432,0.01536526,0.006334264,0.634946,0.004289746],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6721587,0.0001739447,0.06339078,0.00004895282,0.002727412,0.002764537,0.0002203501,0.00001273225,0.2585026],"genre_scores_gemma":[0.309114,0.00001897498,0.03733012,0.00006195899,0.0002950605,0.0004208255,0.01214387,0.0001181506,0.640497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8323758,"threshold_uncertainty_score":0.9833832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1337217522308422,"score_gpt":0.3881709001790715,"score_spread":0.2544491479482293,"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."}}