{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007339711,0.000143474,0.0002399248,0.0001447378,0.0003943477,0.0004008966,0.0005599144,0.0001585833,0.0002018268],"category_scores_gemma":[0.0003212235,0.0001478659,0.0001265927,0.001842419,0.0002227001,0.002940106,0.0001991163,0.000313525,0.0003214514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005678399,"about_ca_system_score_gemma":0.0002339885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001350503,"about_ca_topic_score_gemma":0.000256871,"domain_scores_codex":[0.9978911,0.0001566877,0.0003844207,0.000307813,0.0005742452,0.000685744],"domain_scores_gemma":[0.9993484,0.0001097491,0.0001190184,0.0001628045,0.00002973132,0.0002302981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001101158,0.0001227565,0.9133683,0.00005947404,0.00002316766,0.00007553282,0.008933957,0.01974415,0.00002260676,0.03000477,0.009937045,0.01759812],"study_design_scores_gemma":[0.001927323,0.0002165312,0.1299714,0.0009949632,0.0000435269,0.000004338262,0.01233595,0.09542442,0.00003659706,0.1696252,0.587006,0.002413754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140182,0.0002416635,0.0000136317,0.0004944038,0.0002720914,0.0001982052,0.0001477656,0.0002705793,0.08434352],"genre_scores_gemma":[0.9980542,0.00005355958,0.0001372655,0.0001363176,0.0003228779,0.000009624609,0.00006338899,0.00002369483,0.001199072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7833969,"threshold_uncertainty_score":0.6029797,"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."}}