{"id":"W4398521376","doi":"10.7910/dvn/itvlik/bx5ijl","title":"pre-commit.sample","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Commit; Sample (material); Computer science; Database; Chemistry; Chromatography","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002070833,0.0002945249,0.0003488274,0.00004113171,0.0001396914,0.0001109864,0.00100471,0.00017217,0.06930566],"category_scores_gemma":[0.0002163955,0.0002767351,0.0001570982,0.0002199797,0.0001300044,0.0002026093,0.001151956,0.0003863025,0.518479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120847,"about_ca_system_score_gemma":0.00001382402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009946996,"about_ca_topic_score_gemma":0.0001007505,"domain_scores_codex":[0.9980905,0.000124318,0.0003026797,0.0006215836,0.0005319022,0.0003290175],"domain_scores_gemma":[0.9982589,0.00008821461,0.0001478438,0.001256453,0.000004694933,0.000243845],"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":[0.00001182472,0.0000506586,0.0001415397,0.00003540852,0.0000526472,0.00003715458,0.00003710187,0.00005373799,0.00004705383,6.523226e-7,0.9993243,0.000207871],"study_design_scores_gemma":[0.000131428,0.00002962606,0.0001669863,0.00001993521,0.0001728874,0.000001872579,0.00001918133,0.00002745308,0.0001352781,0.00002999235,0.9989347,0.0003305972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006855517,1.958575e-7,0.00007268079,0.00001987255,0.0003148662,0.000101856,0.9992902,0.0000613354,0.000070423],"genre_scores_gemma":[0.00004832805,0.00006480569,0.0005604404,0.0002599207,0.0003644464,0.00001417488,0.9981959,0.00001735749,0.0004745565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4491734,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184556946514194,"score_gpt":0.2482610223833374,"score_spread":0.2264154529181955,"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."}}