{"id":"W4221051160","doi":"10.5281/zenodo.6405286","title":"Measuring belief-dependent preferences without data on beliefs","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Psychology; Social psychology; Cognitive 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01700782,0.0008746681,0.001538773,0.001303387,0.0006822844,0.002237825,0.002269133,0.001378619,0.02376582],"category_scores_gemma":[0.08676609,0.0006796741,0.001208565,0.001378154,0.001579999,0.002733728,0.002868104,0.001660483,0.004267189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242733,"about_ca_system_score_gemma":0.002133412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003857049,"about_ca_topic_score_gemma":0.00193991,"domain_scores_codex":[0.9844199,0.008949351,0.0008297804,0.002090758,0.003262304,0.000447941],"domain_scores_gemma":[0.889884,0.06257033,0.003940676,0.0371879,0.005401244,0.001015863],"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":[0.01206276,0.004992655,0.0928928,0.003134484,0.001068142,0.0004018529,0.003926561,0.1013896,0.03972309,0.3508525,0.04037588,0.3491797],"study_design_scores_gemma":[0.003080708,0.002698088,0.09544878,0.0005591742,0.0003319519,0.0007675476,0.001160049,0.3594529,0.06921507,0.3607874,0.105927,0.0005713945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1819551,0.0002967507,0.7501174,0.0008589706,0.0002489453,0.001586811,0.04106308,0.003746618,0.02012636],"genre_scores_gemma":[0.5991467,0.0002786223,0.339303,0.0003337659,0.00009633308,0.005059556,0.04563421,0.001904986,0.008242891],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02376582,"threshold_uncertainty_score":0.08994699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543511280336183,"score_gpt":0.2761631361218424,"score_spread":0.1218120080882241,"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."}}