{"id":"W4398376790","doi":"10.7910/dvn/itvlik/sbfdyz","title":"pre-rebase.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":"Sample (material); 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":[0.0002224512,0.000302989,0.0003472928,0.00004445797,0.0001408736,0.000107438,0.0009106495,0.0001718857,0.07308632],"category_scores_gemma":[0.0002577782,0.000284223,0.0001657096,0.0002339897,0.0001356386,0.0002140637,0.001049082,0.0003646944,0.5326867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000129623,"about_ca_system_score_gemma":0.00001738794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199891,"about_ca_topic_score_gemma":0.00009417688,"domain_scores_codex":[0.9979964,0.0001214125,0.0003101474,0.0006715949,0.0005607564,0.0003397132],"domain_scores_gemma":[0.9982575,0.00008709056,0.0001538333,0.001232901,0.000005168982,0.0002634717],"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":[0.0000135505,0.000054664,0.0001052857,0.00004000171,0.00005180325,0.00004802645,0.00003251258,0.00006523292,0.00008120215,7.349609e-7,0.9993615,0.0001454762],"study_design_scores_gemma":[0.0001363804,0.00003119112,0.00008839623,0.00002236242,0.0001874937,0.000001309432,0.00001968331,0.00003596889,0.000186351,0.00003916234,0.9989105,0.0003411997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006772513,1.72773e-7,0.00009386118,0.00002408355,0.000324983,0.0001082748,0.9992517,0.00006331803,0.00006585575],"genre_scores_gemma":[0.00003475713,0.0000557188,0.0006469465,0.0003784151,0.0003817506,0.00001533619,0.9979774,0.00001798593,0.000491726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4596003,"threshold_uncertainty_score":0.999961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217015687578729,"score_gpt":0.2485126536448717,"score_spread":0.2268110848869988,"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."}}