{"id":"W6983721144","doi":"","title":"Neural Network Modeling of Pure Reasoning in Preverbal Infants","year":2023,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"German Social Sciences and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Set (abstract data type); Artificial neural network; Bayesian probability; Bayesian network; Computational model; Work (physics); Bayesian inference; Model-based reasoning; Empirical evidence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000638511,0.0002890801,0.000365954,0.0003036709,0.0002377579,0.0007730721,0.0008900432,0.000668314,0.002062289],"category_scores_gemma":[0.003455984,0.000347878,0.0003663787,0.0002693363,0.0005954633,0.001280259,0.0005044398,0.001005762,0.0002187256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008711158,"about_ca_system_score_gemma":0.0005956594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007528873,"about_ca_topic_score_gemma":0.007887927,"domain_scores_codex":[0.9998618,0.00005499866,0.000005023658,0.0000336354,0.00002307351,0.00002136861],"domain_scores_gemma":[0.9993825,0.0004249982,0.00006259978,0.00003543673,0.00005813556,0.00003636761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006278527,0.0000179029,0.002444304,0.00002618925,0.00002730421,0.0001297441,0.0001434786,0.9371536,0.001883611,0.04905679,0.0003801361,0.008674107],"study_design_scores_gemma":[0.00000169566,0.000003229572,0.0002938914,0.00000157066,0.000001824895,0.000007828497,0.00000547203,0.9842403,0.0001017633,0.01527729,0.00006336618,0.000001844111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5468575,0.0004520963,0.4409346,0.001013389,0.00002983938,0.00001991809,0.0002259302,0.0002452514,0.0102215],"genre_scores_gemma":[0.9697334,0.0001890205,0.02706748,0.0000321483,0.00001043892,0.00003414081,0.00009111729,0.00003156843,0.002810627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007528873,"threshold_uncertainty_score":0.01497012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273146812879517,"score_gpt":0.2536636213115745,"score_spread":0.2309321531827794,"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."}}