{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009319588,0.0006181293,0.0004730868,0.003622248,0.01959615,0.01878608,0.001991753,0.005261868,0.02214077],"category_scores_gemma":[0.01307974,0.0005422945,0.000393561,0.002761316,0.00965675,0.01956627,0.01212601,0.006809341,0.002998165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008550699,"about_ca_system_score_gemma":0.01287678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103557,"about_ca_topic_score_gemma":0.02400782,"domain_scores_codex":[0.9929643,0.002921501,0.0002826027,0.0009820821,0.0008947567,0.00195486],"domain_scores_gemma":[0.9941754,0.001755258,0.0006407144,0.0003385087,0.001204264,0.001886003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009840953,0.0001541371,0.02529898,0.0003192467,0.0000232319,0.001346079,0.2292689,0.0002756197,0.001103421,0.507388,0.0753171,0.1594069],"study_design_scores_gemma":[0.00001323119,0.0000484037,0.008048065,0.0006844789,0.00001209014,0.0004569801,0.6192901,0.0008398016,0.0003952307,0.106895,0.263279,0.00003761474],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3459878,0.005700858,0.02885534,0.2153736,0.002174009,0.0003463865,0.0004200586,0.0002183914,0.4009236],"genre_scores_gemma":[0.9445431,0.00178425,0.01019124,0.007942161,0.0001670428,0.000202734,0.0002190059,0.0001044381,0.0348459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02214077,"threshold_uncertainty_score":0.07406825,"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."}}