{"id":"W2936326179","doi":"10.3819/ccbr.2019.140006","title":"The Case for a Heuristic Approach to Account for Suboptimal Choice","year":2019,"lang":"en","type":"article","venue":"Comparative Cognition & Behavior Reviews","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Space (punctuation); Heuristic; Line (geometry); Psychology; White (mutation); Selection (genetic algorithm); Font; Arithmetic; Statistics; Mathematics; Artificial intelligence; Computer science; Machine learning; Biology; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01211618,0.001572008,0.002512324,0.00179401,0.001724875,0.006821887,0.005034377,0.005704722,0.04503396],"category_scores_gemma":[0.07589427,0.0009619124,0.00182714,0.001980167,0.004215466,0.01017457,0.003409211,0.005627478,0.00385415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003813583,"about_ca_system_score_gemma":0.005512319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006526115,"about_ca_topic_score_gemma":0.009033964,"domain_scores_codex":[0.9929304,0.004252396,0.0002971789,0.001155914,0.0008409375,0.0005231224],"domain_scores_gemma":[0.9684884,0.01900842,0.002969046,0.006523774,0.001806127,0.001204149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001927357,0.0001211741,0.002826995,0.0002644632,0.0003204015,0.0002419064,0.0003603334,0.04746436,0.0001270698,0.9070505,0.01475328,0.02627673],"study_design_scores_gemma":[0.00003525151,0.00001775801,0.0003097088,0.00003716451,0.00001939324,0.00006252076,0.00008572372,0.06655053,0.00003538381,0.9292614,0.003559487,0.00002577777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02507956,0.001567392,0.8181944,0.04041811,0.0009265429,0.0003372302,0.001173349,0.0008347349,0.1114686],"genre_scores_gemma":[0.7923531,0.001145994,0.1809888,0.006338421,0.00082166,0.0006453267,0.0007540483,0.0004916283,0.016461],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04503396,"threshold_uncertainty_score":0.1506536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4844919538919981,"score_gpt":0.509163919179003,"score_spread":0.02467196528700494,"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."}}