{"id":"W6886086833","doi":"10.14288/1.0375185","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":"Passenger transport; Public transport; Work (physics); 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":[0.0002400494,0.0008083624,0.0004088285,0.002538999,0.003830341,0.002386149,0.0007836281,0.00071715,0.7046193],"category_scores_gemma":[0.001272987,0.0004272957,0.0002330819,0.003406134,0.0002210319,0.001220612,0.001734378,0.001059846,0.5599936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286035,"about_ca_system_score_gemma":0.002575868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09108099,"about_ca_topic_score_gemma":0.2365937,"domain_scores_codex":[0.9996573,0.00001341575,0.00001408198,0.00004913073,0.0001734436,0.00009273653],"domain_scores_gemma":[0.9986927,0.00004783957,0.00003760838,0.00006810316,0.0009549537,0.0001988282],"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":[0.00003288699,0.00001390215,0.0004917377,0.00004372377,0.000001063213,0.00004588422,0.0001055464,0.00001498779,0.00007918024,0.000285758,0.9860892,0.01279608],"study_design_scores_gemma":[0.00000568387,0.00001222623,0.003643619,0.00003132419,0.000001625471,0.00004054217,0.0003210545,0.00001892435,0.00009774357,0.00005590003,0.995764,0.000007292263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.004231892,0.0004721206,0.0003587432,0.001039093,0.001370519,0.0002644712,0.1648891,0.001227574,0.8261465],"genre_scores_gemma":[0.004087415,0.0003099717,0.0001880891,0.0002835707,0.0001391774,0.00005680079,0.04511213,0.0003348663,0.9494879],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7046193,"threshold_uncertainty_score":0.4213247,"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."}}