{"id":"W2765865900","doi":"10.1177/0967010617721872","title":"Tracing and explaining securitization: Social mechanisms, process tracing and the securitization of irregular migration","year":2017,"lang":"en","type":"article","venue":"Security Dialogue","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Securitization; Process tracing; Process (computing); Mechanism (biology); TRACE (psycholinguistics); Sociology; Business; Political science; Epistemology; Law; Finance; Politics; Computer science","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":[0.002810257,0.000172762,0.0003494293,0.00007274857,0.004239504,0.000522654,0.0003163903,0.000267904,0.00002354021],"category_scores_gemma":[0.001186149,0.00015879,0.00006375243,0.0001818476,0.001070653,0.001038652,0.00007711652,0.0002517222,0.00000101798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004649082,"about_ca_system_score_gemma":0.0002270287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005897012,"about_ca_topic_score_gemma":0.02009006,"domain_scores_codex":[0.9977736,0.0005741774,0.0004010442,0.0003363173,0.0005150295,0.0003998467],"domain_scores_gemma":[0.9986952,0.000228171,0.0004513174,0.0002011043,0.0002691558,0.0001550501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004947166,0.00003992815,0.0005876149,0.0001890109,0.00001751428,0.000002152771,0.2663932,0.000003531864,0.00001776407,0.7291275,0.00008935797,0.003482871],"study_design_scores_gemma":[0.004099154,0.0001136221,0.007096855,0.0003666184,0.000135433,0.00001723068,0.07828134,0.003651612,0.0006358582,0.8994181,0.005510894,0.0006733283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642562,0.0008715616,0.002524476,0.02031457,0.000473729,0.001023021,0.0001026371,0.0001055507,0.01032831],"genre_scores_gemma":[0.9985377,0.0005343136,0.00008984668,0.0002559462,0.0004741973,0.00002976945,0.00005190547,0.00001303385,0.00001329113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1881119,"threshold_uncertainty_score":0.9977908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880143227930298,"score_gpt":0.3064865328590351,"score_spread":0.2876851005797321,"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."}}