{"id":"W6898773495","doi":"10.57745/axbrot","title":"GL 2023 sample dataset.csv","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":"Sample (material); Statistical analysis; Data set; Set (abstract data type); Population","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","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.0124347,0.001653673,0.001837916,0.0006883229,0.0003556427,0.0004848611,0.01716503,0.003223762,0.002259085],"category_scores_gemma":[0.03368307,0.001761376,0.0001973089,0.004490749,0.0004954357,0.001469815,0.008420786,0.007186611,0.5254969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009886747,"about_ca_system_score_gemma":0.001322682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05367443,"about_ca_topic_score_gemma":0.01700341,"domain_scores_codex":[0.9873323,0.002833836,0.001525494,0.004290003,0.001954159,0.002064246],"domain_scores_gemma":[0.9656774,0.008218198,0.001061211,0.0242111,0.0002241853,0.0006078809],"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":[0.00007634683,0.0002394899,0.00001094556,0.0007137511,0.0003991525,0.0002244209,0.00001068689,0.000009811713,0.00005762375,0.00000443896,0.9960584,0.002194904],"study_design_scores_gemma":[0.0007874215,0.00005053741,0.00009918404,0.0005389119,0.0004563452,0.00003012798,0.00003159997,0.0002435072,0.00002193163,0.0003834664,0.9954939,0.001863041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001817399,0.002382017,0.0001946495,0.0003317703,0.002423548,0.001229049,0.9925347,0.0008364785,0.00006596741],"genre_scores_gemma":[2.265096e-8,0.006389363,0.008806332,0.000801165,0.001977594,0.0002577976,0.9787257,0.0006552979,0.002386677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5232378,"threshold_uncertainty_score":0.999621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5113453035331478,"score_gpt":0.4716933310932234,"score_spread":0.03965197243992435,"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."}}