{"id":"W6904685551","doi":"10.14288/1.0362794","title":"Specification, three track car barge","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BARGE; Track (disk drive); Truck; Window (computing)","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001065237,0.00008164537,0.0001058261,0.00007436753,0.001853943,0.001536367,0.0003154391,0.00003316892,0.006705593],"category_scores_gemma":[0.0000106687,0.00008292497,0.00004000239,0.0006170667,0.00006701757,0.0009356159,0.00005958952,0.00004839021,0.001386844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000276526,"about_ca_system_score_gemma":0.00002840032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01822751,"about_ca_topic_score_gemma":0.04544147,"domain_scores_codex":[0.9994454,0.000001437365,0.0001621999,0.0001741005,0.00004494757,0.0001718923],"domain_scores_gemma":[0.9996167,0.000007778835,0.00006451867,0.0002122673,0.00008837015,0.00001036431],"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":[0.00001639063,0.00005200203,0.004103682,0.000005349361,0.00002042138,4.267553e-7,0.00004761749,0.000006335653,0.00005813216,0.01394829,0.9812921,0.0004493087],"study_design_scores_gemma":[0.0002608211,0.000005863327,0.02812446,0.000004881948,0.00002124735,0.000001032847,0.0001075907,0.0003322008,0.00006181037,0.007977125,0.9629803,0.0001226037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01813759,0.000007715907,0.000463272,0.0008783309,0.000648496,0.0002940928,0.000008956582,0.00008501045,0.9794765],"genre_scores_gemma":[0.7693653,0.000006296679,0.0002793742,0.001358866,0.003717348,0.00009425887,0.00003296366,0.00002772597,0.2251178],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7543587,"threshold_uncertainty_score":0.9995002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03687722840711667,"score_gpt":0.2344223826200104,"score_spread":0.1975451542128937,"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."}}