{"id":"W1994905133","doi":"10.1177/0002764211407838","title":"Identifying the Battle Lines","year":2011,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Florida International University","keywords":"Immigration; Miami; Legislation; Immigration reform; Public administration; Civic engagement; Politics; Political science; Immigration law; Immigration policy; Community organization; Local community; Sociology; Public relations; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005113366,0.00008263223,0.00009467003,0.00005899731,0.001099773,0.0002001367,0.0003882839,0.00002582973,0.001077591],"category_scores_gemma":[0.00008928905,0.00005754678,0.00007159178,0.0006921539,0.001430902,0.0003707563,0.00003382099,0.00008672517,0.0002011312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000608057,"about_ca_system_score_gemma":0.0000860647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05599305,"about_ca_topic_score_gemma":0.07601912,"domain_scores_codex":[0.9988003,0.0001383462,0.000166549,0.0002147712,0.0004008729,0.0002792108],"domain_scores_gemma":[0.9993984,0.00003608281,0.0001318288,0.0002070752,0.0001280813,0.00009859612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002500635,0.0006266868,0.3111052,0.000004908709,0.00001741454,0.00001372796,0.2624148,9.183426e-7,0.005476569,0.09587187,0.06321688,0.261226],"study_design_scores_gemma":[0.0001836143,0.0002262413,0.3892872,0.00002375077,0.00008899375,0.000004419476,0.06455788,0.00003256002,0.002617182,0.001250739,0.5412385,0.0004889939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829609,0.00005686599,0.0008078092,0.000258397,0.001628944,0.0001516643,0.000007137891,0.00008649052,0.01404184],"genre_scores_gemma":[0.9937897,0.00003977487,0.0009256399,0.00009447446,0.0002206694,0.00002045999,0.000008268554,0.000007151833,0.004893804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4780216,"threshold_uncertainty_score":0.9998356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09145147024175111,"score_gpt":0.3785914250818087,"score_spread":0.2871399548400576,"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."}}