{"id":"W12365062","doi":"10.34917/4332677","title":"Caught in the Immigration Cross-Fire: The Changing Dynamics of Congressional Support for Skilled Worker Visas","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Dynamics (music); Temporary work; Labour economics; Political science; Demographic economics; Economics; Work (physics); Law; Sociology; Engineering","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":[0.003263467,0.0001022156,0.000253069,0.002104903,0.005021255,0.004913291,0.0007643123,0.001234034,0.003955272],"category_scores_gemma":[0.01325559,0.0002095164,0.000150607,0.001835512,0.002784106,0.002621896,0.002448841,0.001832105,0.000297727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004191218,"about_ca_system_score_gemma":0.003470841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04234735,"about_ca_topic_score_gemma":0.07669462,"domain_scores_codex":[0.9980829,0.0007941341,0.00005980075,0.0001781941,0.000272497,0.0006125361],"domain_scores_gemma":[0.9938083,0.002605285,0.00182927,0.0002053294,0.0006900297,0.0008617273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002262207,0.0002074099,0.3355351,0.0001158932,0.00005298196,0.00105848,0.5735884,0.0002655942,0.002067992,0.03858801,0.005802813,0.04249113],"study_design_scores_gemma":[0.000008881307,0.00007668928,0.3022649,0.0001465572,0.00001325725,0.0001573688,0.6619219,0.0003665892,0.0004321039,0.001295284,0.03327708,0.00003931546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987763,0.00016053,0.0001187644,0.001904627,0.00002296811,0.000006815693,0.00003690842,0.00000342448,0.009983032],"genre_scores_gemma":[0.9981456,0.0001045529,0.00005922541,0.000219563,0.00001271983,0.00000877168,0.00003594691,0.000004877782,0.001408735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04234735,"threshold_uncertainty_score":0.08420169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263556850745185,"score_gpt":0.2976052660662949,"score_spread":0.2749696975588431,"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."}}