{"id":"W7037463963","doi":"","title":"Econometric analysis of compliance to social norms and socially desired behaviors","year":2024,"lang":"en","type":"other","venue":"","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social capital; Panel survey; Econometric analysis; Proxy (statistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002789751,0.0001413658,0.0003645188,0.0007771368,0.0002202715,0.001101428,0.0004265629,0.0004201515,0.007706177],"category_scores_gemma":[0.0192785,0.0001853708,0.0006032538,0.001542084,0.0004992138,0.0005462749,0.0005660351,0.0006748324,0.0005389143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279354,"about_ca_system_score_gemma":0.001173559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02770337,"about_ca_topic_score_gemma":0.02026344,"domain_scores_codex":[0.9987191,0.0007544699,0.00007790769,0.0001052028,0.0001937352,0.0001496736],"domain_scores_gemma":[0.9796411,0.01582263,0.002710633,0.0008138834,0.0007432313,0.0002684957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002480097,0.0002709893,0.7405943,0.0001637489,0.0003764227,0.0003571707,0.001786237,0.08259743,0.0004383624,0.09516465,0.002808037,0.07519471],"study_design_scores_gemma":[0.00005866116,0.0002617293,0.6384411,0.00006664573,0.0001388472,0.0001270539,0.003607608,0.3022569,0.000526135,0.04426809,0.01018403,0.00006333107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567472,0.0004634274,0.02599832,0.001655233,0.00003312192,0.00009291575,0.001429527,0.00008323976,0.01349706],"genre_scores_gemma":[0.992946,0.0001797403,0.002190681,0.00002791064,0.00001567795,0.00003864837,0.000470531,0.000008886514,0.004122118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02770337,"threshold_uncertainty_score":0.05508423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037899197104732,"score_gpt":0.3445452202284759,"score_spread":0.3241662282574286,"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."}}