{"id":"W3034173062","doi":"10.3386/w27341","title":"Searching for Approval","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01093424,0.0003032675,0.001164903,0.001218621,0.000227805,0.0001852788,0.0008937318,0.0005342047,0.0006769875],"category_scores_gemma":[0.003392559,0.0004004707,0.0005204087,0.0002016505,0.0002556112,0.0002434313,0.0002942889,0.0009277151,0.001030854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002487316,"about_ca_system_score_gemma":0.002652856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031896,"about_ca_topic_score_gemma":0.000123441,"domain_scores_codex":[0.9962174,0.00005665941,0.001661743,0.001044399,0.0003173325,0.0007024153],"domain_scores_gemma":[0.9965528,0.001176886,0.000861864,0.000416087,0.0007799044,0.0002125079],"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":[0.0001026549,0.00006302827,0.0008692102,0.0005696754,0.0002672435,0.000001001798,0.0001139702,0.0004013526,0.000008538645,0.8918067,0.1026531,0.003143474],"study_design_scores_gemma":[0.0004666447,0.0001051671,0.00008936612,0.00004249821,0.000005491135,0.000005134874,0.00002754216,0.006267417,0.00002801638,0.650906,0.3417535,0.0003031824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0004473749,0.0005913083,0.0002146394,0.001574804,0.001274526,0.0009697186,0.0008076817,0.00003237205,0.9940876],"genre_scores_gemma":[0.9548086,0.005478996,0.005185553,0.0001220368,0.00842987,0.0006625393,0.002914878,0.0004072278,0.02199029],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9720973,"threshold_uncertainty_score":0.9998447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5454503059507511,"score_gpt":0.4925645656252942,"score_spread":0.05288574032545684,"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."}}