{"id":"W6886047025","doi":"10.14288/1.0374833","title":"Passenger list","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Maritime and Coastal Archaeology","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information system; Passenger transport; Passenger information; Check-in","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003973902,0.001038966,0.0005974333,0.004041665,0.00244757,0.002498037,0.0008961816,0.0007755118,0.8393989],"category_scores_gemma":[0.002259442,0.0004985352,0.000292864,0.006032356,0.0002521355,0.002065725,0.001570078,0.0009771697,0.762432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298887,"about_ca_system_score_gemma":0.002459059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04280841,"about_ca_topic_score_gemma":0.08090054,"domain_scores_codex":[0.9994962,0.00002694801,0.00002778021,0.00007810912,0.000277987,0.00009302247],"domain_scores_gemma":[0.9981352,0.0001134953,0.00008368675,0.0001580343,0.001224781,0.0002848508],"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":[0.00002022246,0.00001180518,0.0002244937,0.00004891845,6.977051e-7,0.00001722569,0.00004108624,0.00001582971,0.0000773217,0.0004120278,0.9862812,0.01284933],"study_design_scores_gemma":[0.000004689834,0.000009535509,0.001301521,0.00002714909,9.854382e-7,0.00002287862,0.00008120292,0.00001422955,0.00005848526,0.00007843444,0.9983951,0.000005772139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001235328,0.0004613589,0.0005288921,0.0006882545,0.000821899,0.0002490366,0.2193102,0.001982752,0.7747223],"genre_scores_gemma":[0.001759447,0.0003924424,0.0002358404,0.0002492549,0.0001243169,0.00007773751,0.06438146,0.0004840867,0.9322953],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8393989,"threshold_uncertainty_score":0.2290779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226688084989425,"score_gpt":0.250767599864832,"score_spread":0.2185007190149378,"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."}}