{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001671353,0.00009567309,0.0002568198,0.0002336271,0.0004787459,0.0001273078,0.00008794326,0.00007202665,0.000001885251],"category_scores_gemma":[0.0007687348,0.00008125512,0.00003677595,0.0005037605,0.0001446728,0.0003295322,0.00005274379,0.0001040155,4.036212e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008691464,"about_ca_system_score_gemma":0.000175839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003861083,"about_ca_topic_score_gemma":0.03119853,"domain_scores_codex":[0.9988249,0.0001136763,0.000388616,0.0001590489,0.0003161544,0.0001976186],"domain_scores_gemma":[0.9988866,0.0001984395,0.0002450853,0.00005017365,0.0005133448,0.0001063942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002755804,0.0002979891,0.004796644,0.0001177861,0.0001341527,0.000009666574,0.9532711,0.0008899955,0.003195954,0.007190459,0.01110944,0.01871127],"study_design_scores_gemma":[0.002264106,0.000607406,0.05615262,0.0002473289,0.0001288526,0.00001134044,0.8780789,0.02490038,0.00007358175,0.002170914,0.03494322,0.0004213651],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926155,0.001465648,0.001359627,0.003847527,0.0001927263,0.0003344444,0.00002101563,0.00001460094,0.0001489363],"genre_scores_gemma":[0.9953905,0.002629928,0.00108074,0.0003437384,0.0001695844,0.00001717522,0.00001207904,0.000007268257,0.0003489298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07519218,"threshold_uncertainty_score":0.9864796,"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."}}