{"id":"W7008275075","doi":"","title":"Border patrols using eye scan technology","year":2016,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Border Security; Face (sociological concept); Foot (prosody); Border crossing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008072713,0.000540201,0.0001696209,0.002721159,0.002058004,0.002845053,0.0007868835,0.0007577289,0.09888067],"category_scores_gemma":[0.003060308,0.0002931741,0.0003209729,0.00122184,0.0004505859,0.002211956,0.002176515,0.0007785065,0.03410827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008954565,"about_ca_system_score_gemma":0.00153981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02328769,"about_ca_topic_score_gemma":0.04029581,"domain_scores_codex":[0.9991506,0.0001459014,0.00004127569,0.0001462745,0.0003634109,0.0001524757],"domain_scores_gemma":[0.9980178,0.0002484837,0.000211671,0.0003333948,0.0009082067,0.0002803992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001668831,0.000332331,0.02475544,0.0002216962,0.00002285386,0.0004783771,0.002321491,0.0002586775,0.001836347,0.006429421,0.5307701,0.4324065],"study_design_scores_gemma":[0.00004449795,0.000130263,0.0360571,0.0003900178,0.00003156506,0.001020988,0.005068702,0.0009918076,0.003299878,0.002231373,0.9506841,0.0000498515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02738944,0.001107409,0.0074614,0.001904377,0.0005750371,0.0004298498,0.005128972,0.002613714,0.9533898],"genre_scores_gemma":[0.2404176,0.003032932,0.0144972,0.001485225,0.0003317231,0.0004094117,0.008257627,0.001054556,0.7305138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09888067,"threshold_uncertainty_score":0.3307889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260408585811059,"score_gpt":0.288831545730116,"score_spread":0.2762274598720054,"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."}}