{"id":"W3175443604","doi":"10.3389/fpos.2021.674164","title":"Recognizing the Needs of Others: Municipal Candidates’ Intrinsic and Extrinsic Motivations to Support Immigrants and Religious Minorities","year":2021,"lang":"en","type":"article","venue":"Frontiers in Political Science","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Conscientiousness; Immigration; Diversity (politics); Social psychology; Politics; Personality; Big Five personality traits; Antecedent (behavioral psychology); Sociology; Representation (politics); Psychology; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007647408,0.00007125094,0.0001609054,0.0001759674,0.0003399793,0.00007456109,0.0002601917,0.00005976657,0.00001981196],"category_scores_gemma":[0.001265468,0.00005892189,0.00002244405,0.001120745,0.002720513,0.0001737811,0.0001225033,0.0001152072,0.000001890372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123392,"about_ca_system_score_gemma":0.0002492135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418083,"about_ca_topic_score_gemma":0.004285167,"domain_scores_codex":[0.9986489,0.0001234433,0.0001992317,0.0001971597,0.0002383212,0.0005929662],"domain_scores_gemma":[0.999317,0.0001774225,0.00003163322,0.0001340032,0.00009956019,0.0002403567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002430574,0.00006741511,0.5557308,0.00001237273,0.0000129568,0.00001051537,0.1224504,2.694076e-7,0.0006279974,0.2814603,0.003826734,0.03577597],"study_design_scores_gemma":[0.0005020349,0.0001866803,0.5111382,0.0000871571,0.00002260567,0.00001533902,0.4053237,0.00003266788,0.0009279806,0.07013416,0.01134087,0.0002886518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804631,0.0003174508,0.0001114758,0.006085649,0.0006539516,0.0001213011,0.000007971455,0.00001129774,0.01222773],"genre_scores_gemma":[0.9974263,0.0001273234,0.0007201674,0.001230257,0.0000825821,0.000008669243,4.989592e-7,0.000003696074,0.0004005355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2828733,"threshold_uncertainty_score":0.9999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348123344251781,"score_gpt":0.3159525063971716,"score_spread":0.2924712729546538,"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."}}