{"id":"W7132192698","doi":"","title":"Migrants in the Movies ","year":2018,"lang":"en","type":"book-chapter","venue":"MiCISAN","topic":"Short Stories in Global Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colonialism; Indigenous; Genocide; Nationalism; State (computer science); Immigration; Narrative; Resistance (ecology)","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":[0.0001135399,0.0002475051,0.0002285592,0.00007700768,0.0001588276,0.0001909236,0.00045134,0.0001575976,0.01272092],"category_scores_gemma":[0.00001109815,0.0001591871,0.0001065088,0.000007752201,0.0004747108,0.00006119684,0.00005755867,0.000342996,0.0003634211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003894984,"about_ca_system_score_gemma":0.00001629451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007166935,"about_ca_topic_score_gemma":0.002755477,"domain_scores_codex":[0.9991284,0.00001482476,0.0002165798,0.00022032,0.000234054,0.0001858455],"domain_scores_gemma":[0.9993628,0.00005050707,0.00007610088,0.000428241,0.00006334384,0.00001896658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007098095,0.000005100636,0.000004472074,0.0000117565,0.00001455239,0.00001960447,0.04187396,1.504974e-8,2.64958e-7,0.6984907,0.2591937,0.0003788197],"study_design_scores_gemma":[0.00005328438,0.00003846057,0.000006634829,0.0001483849,0.00002181272,0.000005607765,0.001063129,3.41141e-7,9.332436e-7,0.05173061,0.9467455,0.000185257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000191809,0.002238841,1.44439e-7,0.0001440496,0.001516746,0.0001812765,0.0002651477,0.00003545249,0.9954265],"genre_scores_gemma":[0.01365819,0.0000462307,0.00001565661,0.002070062,0.003600395,0.000008801209,0.0001148129,0.00003955411,0.9804463],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6875519,"threshold_uncertainty_score":0.9881816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884703015997817,"score_gpt":0.2238990485197024,"score_spread":0.1950520183597242,"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."}}