{"id":"W7072240179","doi":"","title":"Weaknesses In Screening Entrants Into the United States","year":2003,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Glass properties and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfeit; Government (linguistics); Identification (biology); Strengths and weaknesses; Work (physics); Port (circuit theory)","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":[],"consensus_categories":[],"category_scores_codex":[0.00007882083,0.0001909379,0.0002917234,0.0002625881,0.0003352971,0.00005887912,0.001000997,0.00005759186,0.0006141656],"category_scores_gemma":[0.00002014899,0.0001950729,0.0001219758,0.001014828,0.00064536,0.001943927,0.0003718042,0.0001602508,0.0001159708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002786381,"about_ca_system_score_gemma":0.0001156397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001922919,"about_ca_topic_score_gemma":0.002578018,"domain_scores_codex":[0.9987721,0.00009307638,0.0001847621,0.0003523036,0.0002781884,0.0003195984],"domain_scores_gemma":[0.9990122,0.0001433398,0.0002310392,0.0003907126,0.00009028157,0.0001323753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001172769,0.0001812781,0.9940832,0.00004619177,0.00002697042,0.00003285345,0.0003891987,0.001731753,0.000005690444,0.0005878539,0.0008691713,0.001928552],"study_design_scores_gemma":[0.0006602835,0.00008274177,0.8909739,0.00005223215,0.00003108089,0.000003066066,0.000896851,0.0002815803,0.0002533536,0.0001524257,0.1063745,0.0002380662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959031,0.00005402993,0.0008580081,0.0005202419,0.00003282542,0.0002458974,0.0003451033,0.00007899977,0.001961737],"genre_scores_gemma":[0.9962326,0.0002026046,0.001287078,0.00005429319,0.00000710974,3.622219e-8,0.0002643414,0.00001369921,0.001938198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1055053,"threshold_uncertainty_score":0.7954843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239101972599065,"score_gpt":0.1725553759045367,"score_spread":0.1601643561785461,"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."}}