{"id":"W4376505247","doi":"10.1080/1369183x.2023.2212323","title":"Inclusive counting: an essential but insufficient approach to account for missing migrants in Panama and Colombia’s shared Darien Gap","year":2023,"lang":"en","type":"article","venue":"Journal of Ethnic and Migration Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Missing data; Panama; Political science; Public relations; Geography; Statistics; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01351561,0.0007872659,0.001030722,0.006912275,0.005879357,0.005515432,0.003347252,0.00120481,0.004982993],"category_scores_gemma":[0.06271935,0.0004599493,0.0005038811,0.007487835,0.00277953,0.007877732,0.008697157,0.002189329,0.0004676589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002906023,"about_ca_system_score_gemma":0.005564278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03271801,"about_ca_topic_score_gemma":0.0777593,"domain_scores_codex":[0.9889708,0.005458011,0.001586566,0.00118992,0.001908335,0.0008863887],"domain_scores_gemma":[0.9677117,0.01298589,0.008247303,0.006234141,0.003877428,0.0009435329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001977455,0.0001233971,0.4915403,0.001666871,0.0001842221,0.001517772,0.123074,0.002934891,0.0008273075,0.05561667,0.01577845,0.3065383],"study_design_scores_gemma":[0.00002229667,0.0002044541,0.3435071,0.007029587,0.0002736798,0.001988217,0.3393338,0.01826328,0.002754161,0.1100224,0.1763318,0.0002691818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7648242,0.00613854,0.1505384,0.01747165,0.0007160819,0.0009155146,0.006645987,0.0004509171,0.05229886],"genre_scores_gemma":[0.9394486,0.001390293,0.05273423,0.0006468935,0.000123952,0.0008712822,0.001591679,0.00007964408,0.003113296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03271801,"threshold_uncertainty_score":0.07147819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09905190981972663,"score_gpt":0.4110546766345038,"score_spread":0.3120027668147772,"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."}}