{"id":"W6945967244","doi":"10.25549/whit-c170-94727","title":"Southwestern Portland cement truck, Southern California, 1940","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portland cement; Indemnity; Envelope (radar); Cement; Memphis","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":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003018735,0.0006170186,0.0007359338,0.000538826,0.0003006131,0.003174806,0.005698018,0.0003431014,0.002212906],"category_scores_gemma":[0.000102953,0.0006355374,0.0004083389,0.0006473374,0.0003485152,0.007069888,0.006384206,0.00069264,0.02599948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007649145,"about_ca_system_score_gemma":0.0005484449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004064141,"about_ca_topic_score_gemma":0.0000675338,"domain_scores_codex":[0.9957545,0.0002280741,0.0005696094,0.001316175,0.001374421,0.0007571683],"domain_scores_gemma":[0.9958586,0.0002180228,0.0008225914,0.002512858,0.0001128078,0.0004751274],"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":[0.00009986242,0.0004264138,0.002043229,0.0004421178,0.0003631187,0.00134396,0.0001101209,0.00001500499,0.00000193679,0.00002686873,0.9935095,0.001617859],"study_design_scores_gemma":[0.0006313708,0.00007310594,0.000006532619,0.0001606509,0.0001006122,0.00001861957,0.002202767,0.00008696553,0.000006302675,0.0001849695,0.9958974,0.0006307064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004298881,0.0002064746,0.004751372,0.0007443416,0.00009699544,0.0003905933,0.9919648,0.0002071604,0.001208364],"genre_scores_gemma":[0.0001581541,0.0003040299,0.0009693441,0.0001878388,0.000152138,0.000001313118,0.9927619,0.00005307765,0.005412194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02378658,"threshold_uncertainty_score":0.9996817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020997831292522,"score_gpt":0.2113611712418233,"score_spread":0.191151192928898,"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."}}