{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00295629,0.0003085189,0.001206353,0.00163445,0.001100706,0.003187838,0.001320783,0.002335592,0.05375199],"category_scores_gemma":[0.03626671,0.0003522547,0.0009677911,0.00228259,0.0008826148,0.00363189,0.001162362,0.001939188,0.007323001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000992765,"about_ca_system_score_gemma":0.0009698332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004952012,"about_ca_topic_score_gemma":0.005289035,"domain_scores_codex":[0.9976382,0.0009076536,0.0001331305,0.0005342386,0.000345284,0.0004415538],"domain_scores_gemma":[0.9657831,0.0197295,0.008814476,0.002603593,0.001469496,0.001599823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001675996,0.001557275,0.3673403,0.0008820252,0.0004814371,0.001700329,0.001888024,0.03265989,0.002812718,0.2316821,0.1102662,0.2470536],"study_design_scores_gemma":[0.0009630518,0.00111292,0.2381139,0.0003014107,0.000343795,0.00293849,0.003968584,0.3065147,0.002519338,0.3411871,0.1017616,0.000275058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8432027,0.003588402,0.04422347,0.01135669,0.0003222512,0.000375356,0.009696049,0.0007287848,0.08650628],"genre_scores_gemma":[0.9805949,0.0005239027,0.002894049,0.0005858479,0.0001733156,0.00008891403,0.002065002,0.00006614459,0.01300785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05375199,"threshold_uncertainty_score":0.1798183,"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."}}