{"id":"W6891917470","doi":"10.48579/pro/afxqrn/rnqcjb","title":"equerre 38x38.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":[0.001495341,0.001188991,0.001255728,0.001091477,0.0003103362,0.0004793846,0.008832905,0.0009558991,0.001733744],"category_scores_gemma":[0.002308341,0.001148408,0.00020754,0.001414206,0.0003898471,0.0007904751,0.007259746,0.001847318,0.5849479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002739639,"about_ca_system_score_gemma":0.0005769259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008739544,"about_ca_topic_score_gemma":0.01401063,"domain_scores_codex":[0.9929383,0.0003932813,0.001002179,0.002441442,0.001770911,0.001453911],"domain_scores_gemma":[0.9862384,0.0006041019,0.0007284647,0.01185781,0.0001403762,0.0004308501],"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":[0.00007684882,0.0001403444,0.00001773498,0.0003368655,0.0003918362,0.001041337,0.00001295695,0.000006696894,0.00002293901,0.0000271165,0.9975652,0.0003601694],"study_design_scores_gemma":[0.0007075854,0.00005470815,0.0002831634,0.0003292821,0.0004412521,0.00004911379,0.00004768287,0.00004132638,0.00001797501,0.0001571989,0.9966375,0.001233243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001378369,0.0007008301,0.000001919486,0.0001386682,0.002515839,0.0007894484,0.9944705,0.001071206,0.0002978471],"genre_scores_gemma":[0.000002631067,0.0006557031,0.0001254479,0.0002806147,0.002355401,0.000144002,0.9946504,0.0005326976,0.001253115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5832142,"threshold_uncertainty_score":0.9991788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437865352598447,"score_gpt":0.3846516131336694,"score_spread":0.2408650778738246,"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."}}