{"id":"W3167962597","doi":"10.1140/epjp/s13360-021-01616-4","title":"Analysis of the refugees’ drowning events:","year":2021,"lang":"en","type":"article","venue":"The European Physical Journal Plus","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Range (aeronautics); Exponent; Kappa; Distribution (mathematics); Refugee; Scaling; Spatial distribution; Similarity (geometry); Cutoff; Seismology; Geography; Statistics; Physics; Geology; Mathematics; Geometry; Computer science; Engineering; Mathematical analysis; Archaeology","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":[0.0006152865,0.0003276939,0.0003474924,0.003694885,0.0004179359,0.001136784,0.0004048252,0.0003324898,0.003262522],"category_scores_gemma":[0.003162802,0.0001128967,0.0006938256,0.004801584,0.0002297554,0.0005860815,0.00117351,0.000469708,0.0007216543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005418634,"about_ca_system_score_gemma":0.0007496089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03485907,"about_ca_topic_score_gemma":0.03605217,"domain_scores_codex":[0.9994918,0.0001435836,0.00005673751,0.00009843741,0.0001038771,0.0001054895],"domain_scores_gemma":[0.9989095,0.0003871336,0.0002263656,0.00008405132,0.0002564126,0.0001365639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003564129,0.0001194564,0.9395651,0.0002070439,0.0005060277,0.0006752115,0.003801442,0.004123406,0.001712457,0.002040272,0.002622461,0.04427069],"study_design_scores_gemma":[0.000005435827,0.00006308234,0.9794297,0.00004935031,0.00008599718,0.0002084116,0.01103204,0.004505804,0.0002776579,0.0003088348,0.004015999,0.00001776681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989129,0.0002308297,0.002159054,0.0001396594,0.00002274376,0.00003956373,0.005684795,0.00003115348,0.002563247],"genre_scores_gemma":[0.9943968,0.0001279927,0.0009149744,0.00001200565,0.000009409403,0.00003701938,0.003488436,0.000009304677,0.001004059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03485907,"threshold_uncertainty_score":0.06931233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815576078237071,"score_gpt":0.3067473550151738,"score_spread":0.2885915942328031,"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."}}