{"id":"W6973919429","doi":"10.57745/npytqf","title":"HALLO contributor 2020 labs v2.xls","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Column (typography); Focus (optics); Measure (data warehouse); Data collection","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":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.01316882,0.001567062,0.002168379,0.0003724403,0.0002693539,0.0004729672,0.01258613,0.003947612,0.001100781],"category_scores_gemma":[0.02980852,0.001636325,0.0002749139,0.003490654,0.0004210199,0.001045543,0.004976879,0.007389287,0.4250911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331204,"about_ca_system_score_gemma":0.00152803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006084444,"about_ca_topic_score_gemma":0.004530106,"domain_scores_codex":[0.9877074,0.003351612,0.001518516,0.003608264,0.001801125,0.002013029],"domain_scores_gemma":[0.9785053,0.004760041,0.001172898,0.0144263,0.0005120539,0.0006234691],"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":[0.0001169914,0.0002043721,0.00001825207,0.0005926775,0.0005270049,0.0005183369,0.0000210444,0.000003374513,0.0002539586,0.000008711136,0.9967299,0.001005398],"study_design_scores_gemma":[0.001411836,0.00006185441,0.0001896995,0.0007408765,0.0004643124,0.00003875157,0.00002756226,0.0001503061,0.00007745266,0.0002834557,0.9948419,0.001712013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001026368,0.005639518,0.00007460727,0.0008814891,0.00267596,0.001532272,0.9877663,0.001246848,0.0001727024],"genre_scores_gemma":[3.572369e-7,0.007524377,0.003110467,0.0008820209,0.002605484,0.0002886895,0.9777047,0.0006451366,0.007238775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4239903,"threshold_uncertainty_score":0.9998124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3715926473378097,"score_gpt":0.4483192468447093,"score_spread":0.07672659950689958,"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."}}