{"id":"W2015104885","doi":"10.1037/a0030518","title":"Optimal weighting of costs and probabilities in a risky motor decision-making task requires experience.","year":2012,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Weighting; Task (project management); Selection (genetic algorithm); Point (geometry); Stochastic game; Event (particle physics); Statistics; Clinical endpoint; Computer science; Psychology; Econometrics; Mathematics; Economics; Artificial intelligence; Randomized controlled trial","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002943054,0.0002428707,0.0006223271,0.0008109467,0.0002315379,0.0001096868,0.0006599294,0.000174937,0.0008971953],"category_scores_gemma":[0.0003115165,0.0001730248,0.0001784545,0.0003073113,0.0005583444,0.002050869,0.0001822334,0.0003619126,0.00003730936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002350911,"about_ca_system_score_gemma":0.00003246546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006853223,"about_ca_topic_score_gemma":0.000004762423,"domain_scores_codex":[0.996223,0.0001755444,0.00206311,0.0003875778,0.000738189,0.0004125343],"domain_scores_gemma":[0.9975556,0.0004210627,0.001214371,0.0004231507,0.0002225666,0.0001632473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001812942,0.001297671,0.4913732,0.00001025505,0.00001960035,0.0000138922,0.03746198,0.0002047209,0.2195518,0.00009603643,0.001082372,0.2470755],"study_design_scores_gemma":[0.002202968,0.002265703,0.9492748,0.0006342353,0.00001864993,0.0007873243,0.03713148,0.0009555893,0.002819265,0.001957149,0.001444497,0.0005083553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973828,0.0006681668,0.0002336041,0.00004640425,0.0009245317,0.000170293,0.000004468884,0.000009375276,0.0005603563],"genre_scores_gemma":[0.9899668,0.0001070596,0.009496914,0.000118909,0.0002396035,0.00001253497,6.005161e-7,0.00001785729,0.00003968468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4579016,"threshold_uncertainty_score":0.9823659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09468109097173782,"score_gpt":0.4523025729217321,"score_spread":0.3576214819499943,"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."}}