{"id":"W4230777142","doi":"10.1002/9781119171492.wecad103","title":"Computational Models","year":2020,"lang":"en","type":"other","venue":"The Encyclopedia of Child and Adolescent Development","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Key (lock); Development (topology); CLARITY; Cover (algebra); Artificial intelligence; Computational model; Cognitive science; Feature (linguistics); Psychology; Engineering; Mathematics; Chemistry; Philosophy","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":[0.0001263645,0.0001872631,0.000212342,0.0000970363,0.0001008059,0.00003196168,0.0006178539,0.00005098976,0.00002871702],"category_scores_gemma":[0.000009270407,0.0001294941,0.00003885293,0.0001845653,0.0001163187,0.00008170042,0.0004215857,0.0001583073,0.00002328632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001092692,"about_ca_system_score_gemma":0.0001648576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002274739,"about_ca_topic_score_gemma":0.00000201052,"domain_scores_codex":[0.9988662,0.00002977285,0.0002206017,0.0003392345,0.0003658246,0.0001783661],"domain_scores_gemma":[0.9995354,0.000022448,0.0001572215,0.0001720803,0.00002575167,0.00008711174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005305501,0.0001164755,0.00006898974,0.0003074972,0.00008919648,0.000008310572,0.004299716,0.0001562654,0.000001701355,0.030091,0.7195056,0.24535],"study_design_scores_gemma":[0.0001875052,0.00001103033,0.0008349884,0.0006994994,0.000007767911,0.000006088543,0.00004477809,0.002420459,0.00001253322,0.003055233,0.9924795,0.0002405919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000674937,0.001281549,0.2048937,0.004631629,0.0002829562,0.0003197903,0.00000587033,0.0001088253,0.7884689],"genre_scores_gemma":[0.05613442,0.0274185,0.3080775,0.05737111,0.003132824,0.0001446052,0.0001985161,0.0007807685,0.5467418],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.272974,"threshold_uncertainty_score":0.5280618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310932248383762,"score_gpt":0.2132843365653005,"score_spread":0.2001750140814629,"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."}}