{"id":"W6966816501","doi":"10.48579/pro/afxqrn/opngn3","title":"Frame.FCStd","year":2023,"lang":"en","type":"dataset","venue":"data.InDoRES","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001209123,0.0009840694,0.00108231,0.0009436907,0.0002542989,0.0004750995,0.008268883,0.0009698785,0.001674669],"category_scores_gemma":[0.002632228,0.0009499271,0.0001673646,0.001228853,0.0003778749,0.000618798,0.006187516,0.001890558,0.6593539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891391,"about_ca_system_score_gemma":0.0004289366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009494125,"about_ca_topic_score_gemma":0.008654933,"domain_scores_codex":[0.9939287,0.0003018973,0.0008396199,0.002124754,0.00159709,0.001207984],"domain_scores_gemma":[0.9868259,0.0006648747,0.0006046284,0.01143214,0.0001136152,0.0003588831],"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":[0.00005517519,0.0001293165,0.00002099085,0.0002408844,0.000343376,0.000570585,0.00001053778,0.000004774082,0.00001505537,0.00001507264,0.9983552,0.0002390627],"study_design_scores_gemma":[0.0005304733,0.00004764016,0.0003757697,0.0002493801,0.0003651056,0.00002704537,0.00003521293,0.0000332162,0.00001331435,0.0001895445,0.9971069,0.001026462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001763631,0.0005344572,0.000002207916,0.0001141814,0.002235012,0.0006327152,0.9954032,0.0009339976,0.0001265809],"genre_scores_gemma":[0.000001285549,0.0005969962,0.0001823001,0.0003315304,0.002125685,0.0001101582,0.9954749,0.0004469356,0.0007302634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6576792,"threshold_uncertainty_score":0.9992951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141921495297855,"score_gpt":0.3802102205103296,"score_spread":0.2660180709805441,"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."}}