{"id":"W1984893708","doi":"10.1017/s0140525x11000070","title":"How to build a baby: A new toolkit?","year":2011,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Agency (philosophy); Bootstrapping (finance); Cognitive science; Domain (mathematical analysis); Computer science; Psychology; Core (optical fiber); Conceptual model; Cognitive psychology; Epistemology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002569176,0.00009615935,0.0001036353,0.00007488766,0.00017662,0.000120332,0.0002047722,0.00003844246,0.0006912726],"category_scores_gemma":[0.00002157947,0.00006918662,0.00002836166,0.0002507943,0.0001437144,0.0001116214,0.00007673368,0.00007144592,0.0001017783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005793042,"about_ca_system_score_gemma":0.00004349979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005548563,"about_ca_topic_score_gemma":0.00007724363,"domain_scores_codex":[0.9991093,0.00002773074,0.00008732721,0.0003645141,0.0001473107,0.000263845],"domain_scores_gemma":[0.9996666,0.00001959805,0.00002890769,0.00009212405,0.00001232926,0.0001804831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006867053,0.0002795458,0.3569462,0.000003480958,0.000008856628,0.00006086638,0.02987942,9.141252e-8,0.00375075,0.0301897,0.06580389,0.5130085],"study_design_scores_gemma":[0.0002018246,0.0006891987,0.8493375,0.00001716488,0.000006675358,0.000027307,0.00178781,4.864436e-7,0.0001636139,0.0005192559,0.1470562,0.0001929679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810949,0.0001218097,0.00007328831,0.006997638,0.0002827062,0.0001085663,0.00000195684,0.00004973277,0.01126943],"genre_scores_gemma":[0.9712318,0.000001319193,0.004818217,0.001253427,0.00009571763,0.000008145377,5.705638e-7,0.00000459524,0.02258624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5128155,"threshold_uncertainty_score":0.7568949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1228266177456589,"score_gpt":0.3468900194492863,"score_spread":0.2240634017036275,"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."}}