{"id":"W1598606007","doi":"10.3389/fpsyg.2015.00916","title":"Prior task experience affects temporal prediction and estimation","year":2015,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Task (project management); Estimation; Machine learning; Computer science; Artificial intelligence; Psychology","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":[0.001560516,0.0001130364,0.0002599795,0.0004121297,0.00005651825,0.0001063366,0.0003480291,0.0001557824,0.00002215958],"category_scores_gemma":[0.0009954397,0.00009509232,0.00003111581,0.0003941475,0.0001928931,0.0004230603,0.00006766182,0.0001377906,0.00006559538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005679303,"about_ca_system_score_gemma":0.00003689673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001224674,"about_ca_topic_score_gemma":0.00001170853,"domain_scores_codex":[0.9983395,0.0001512112,0.000430556,0.0005559131,0.0003186762,0.0002041788],"domain_scores_gemma":[0.9990973,0.00009807002,0.0001699557,0.0004323979,0.00006340616,0.0001388086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007086182,0.00003972677,0.2362616,4.075238e-7,0.000001290302,0.000009826034,0.0009400474,0.0000460209,0.00001786651,0.00001543839,0.08160033,0.6809965],"study_design_scores_gemma":[0.003335838,0.0007602515,0.2516233,0.00004079312,0.00001411846,0.0001644899,0.004679618,0.05701433,0.00005080796,0.5645322,0.1173291,0.0004551112],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8767335,0.0002533869,0.1150901,0.0004181874,0.005876289,0.00015165,0.000007199466,0.0000348845,0.001434687],"genre_scores_gemma":[0.952552,0.00001598037,0.04696438,0.0002612967,0.00005196626,0.00002035108,0.000004466079,0.000008112705,0.0001214712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6805415,"threshold_uncertainty_score":0.3877752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091794232340028,"score_gpt":0.4265777763646589,"score_spread":0.3173983531306561,"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."}}