{"id":"W4398709210","doi":"10.7910/dvn/itvlik/hoeeiv","title":"pre-receive.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":[0.0002049314,0.0003001414,0.0003508439,0.00004350148,0.0001399563,0.0001070488,0.0009380315,0.0001777001,0.07372846],"category_scores_gemma":[0.0002549281,0.0002816037,0.0001627052,0.0002328948,0.0001363624,0.0002180251,0.000983216,0.0003685909,0.5604739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302292,"about_ca_system_score_gemma":0.00001605165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120852,"about_ca_topic_score_gemma":0.00009801088,"domain_scores_codex":[0.9980333,0.0001212435,0.0003022747,0.0006678831,0.0005406608,0.0003345962],"domain_scores_gemma":[0.9983658,0.00008568931,0.0001524329,0.001138538,0.0000054496,0.0002521501],"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":[0.00001359227,0.0000511654,0.0001121389,0.00003523909,0.00005678799,0.00003842215,0.00004368903,0.00006737793,0.00008666681,5.285655e-7,0.9993042,0.0001902134],"study_design_scores_gemma":[0.0001335486,0.00003119963,0.0001613751,0.00002226006,0.0001801055,0.000001871467,0.00002235908,0.00003071927,0.0001578154,0.00002794918,0.9988922,0.0003386311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008781799,1.708984e-7,0.00007188119,0.00001901636,0.0003627882,0.0001092157,0.9992045,0.00006138702,0.00008325114],"genre_scores_gemma":[0.00004074941,0.00007723382,0.0006144626,0.0002351482,0.0003735291,0.00001542409,0.9981003,0.00001752208,0.0005256734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4867454,"threshold_uncertainty_score":0.9999636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185697934568604,"score_gpt":0.2497736654834301,"score_spread":0.2279166861377441,"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."}}