{"id":"W6960706968","doi":"10.14288/1.0374963","title":"Passenger list","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Check-in; Passenger transport; Public transport","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":["insufficient_payload"],"category_scores_codex":[0.000776374,0.001232989,0.0009161832,0.002282297,0.003229794,0.003821729,0.001334455,0.001143892,0.9239667],"category_scores_gemma":[0.004778319,0.0007233853,0.0004328534,0.002898342,0.0003824322,0.002463923,0.0025487,0.001591496,0.8969054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212433,"about_ca_system_score_gemma":0.003016171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0162807,"about_ca_topic_score_gemma":0.0282226,"domain_scores_codex":[0.9994491,0.00005243822,0.00003082736,0.00009824489,0.0002577997,0.000111513],"domain_scores_gemma":[0.9953738,0.0003699845,0.0001276756,0.0004395307,0.002429283,0.001259785],"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":[0.00001834398,0.000009201748,0.00006439912,0.00002479729,4.083452e-7,0.00001270812,0.00001872208,0.00001037768,0.00007077164,0.0005287924,0.9884949,0.01074647],"study_design_scores_gemma":[0.000005177651,0.000008454721,0.000188445,0.00001482437,6.346347e-7,0.00002189941,0.00003888557,0.0000203495,0.00005125258,0.000150056,0.9994954,0.000004624462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008021179,0.0004772459,0.00162414,0.002254721,0.003729137,0.0003966765,0.06361672,0.005078621,0.9220206],"genre_scores_gemma":[0.001112562,0.0002193593,0.0003209671,0.0004689774,0.0002375751,0.00007555138,0.01649253,0.001144066,0.9799284],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07603329,"threshold_uncertainty_score":0.1084523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02906351707415195,"score_gpt":0.2522267239910324,"score_spread":0.2231632069168804,"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."}}