{"id":"W2016084136","doi":"10.1016/j.infbeh.2013.12.005","title":"Infants’ ability to associate motion paths with object kinds","year":2014,"lang":"en","type":"article","venue":"Infant Behavior and Development","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Concordia University; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Cape Breton University","keywords":"Jumping; Habituation; Motion (physics); Object (grammar); Path (computing); Psychology; Communication; Computer science; Artificial intelligence; Neuroscience; Medicine; Physiology","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":[0.001231574,0.000254786,0.0001872935,0.0003535818,0.0001122202,0.0009009668,0.0003699494,0.0005676419,0.003746647],"category_scores_gemma":[0.01185885,0.0003642821,0.0001662203,0.0001455976,0.0006107338,0.0006977335,0.0007782885,0.0008209876,0.0005468412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443931,"about_ca_system_score_gemma":0.0002591274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002183245,"about_ca_topic_score_gemma":0.002308405,"domain_scores_codex":[0.9994411,0.00009860238,0.00004734189,0.000106267,0.0002265485,0.00008017983],"domain_scores_gemma":[0.9959803,0.001874616,0.0008756826,0.0005968174,0.0003992503,0.0002733167],"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":[0.0006729696,0.0002619373,0.1317549,0.0002917876,0.0001209613,0.001374867,0.00803232,0.001584226,0.7666183,0.003007764,0.001203225,0.08507674],"study_design_scores_gemma":[0.0000416646,0.0006093051,0.8681746,0.00009702769,0.0001142973,0.002457484,0.002452089,0.00611361,0.1119264,0.001895239,0.006052084,0.00006624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935076,0.00007942255,0.0009948893,0.00006638066,0.00001211537,0.000006061775,0.00007030444,0.00003251441,0.00523074],"genre_scores_gemma":[0.996255,0.0001465126,0.001015193,0.0000396953,0.000003454981,0.00001902298,0.000128485,0.00002056412,0.002371993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003746647,"threshold_uncertainty_score":0.01253384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534216224944773,"score_gpt":0.2735274205582278,"score_spread":0.2581852583087801,"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."}}