{"id":"W2906068968","doi":"","title":"Does Random Consideration Explain Behavior when Choice is Hard? Evidence from a Large-scale Experiment","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Benchmark (surveying); Mixed logit; Econometrics; Population; Logit; Sample (material); Scale (ratio); Computer science; Economics; Logistic regression; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009045077,0.0004358125,0.0007982532,0.0003461978,0.0004891446,0.001067225,0.0008501937,0.001356333,0.007234736],"category_scores_gemma":[0.0500781,0.0003244442,0.0005815679,0.0003687541,0.001458495,0.001371391,0.0008174969,0.00145272,0.0007430317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565604,"about_ca_system_score_gemma":0.0003243805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226387,"about_ca_topic_score_gemma":0.00124669,"domain_scores_codex":[0.9963186,0.002635299,0.0001163924,0.0004945267,0.000304631,0.0001305568],"domain_scores_gemma":[0.8963668,0.07389358,0.01371338,0.01324222,0.001267582,0.001516305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.01748575,0.02396812,0.5948272,0.001830411,0.003127037,0.001133608,0.004736615,0.05146911,0.04438081,0.08169689,0.0138516,0.1614927],"study_design_scores_gemma":[0.002799826,0.008822393,0.5381351,0.0001908047,0.001110411,0.0008110094,0.001814951,0.1964173,0.01034706,0.2250456,0.01419949,0.0003061367],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853809,0.0001601585,0.008740936,0.0007358508,0.00002299301,0.00009212207,0.000183369,0.00003940938,0.004644162],"genre_scores_gemma":[0.995001,0.00009914308,0.003380835,0.0003756541,0.0000215054,0.0001295489,0.0001668329,0.00001879795,0.0008066192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009045077,"threshold_uncertainty_score":0.04783553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371075554652414,"score_gpt":0.2790846060540916,"score_spread":0.1419770505888501,"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."}}