{"id":"W4398440698","doi":"10.7910/dvn/itvlik/ggbdba","title":"pre-push.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); Geology; Physics; Thermodynamics","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":[0.0002095838,0.000294649,0.0003446483,0.00004265467,0.0001370726,0.0001075567,0.0009376486,0.0001776029,0.06711821],"category_scores_gemma":[0.0002410999,0.0002739363,0.0001589303,0.0002281642,0.0001210918,0.0002144768,0.001091901,0.0003626445,0.543836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231123,"about_ca_system_score_gemma":0.00001543965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009444011,"about_ca_topic_score_gemma":0.0001079928,"domain_scores_codex":[0.9980438,0.0001134687,0.0003022703,0.0006578793,0.0005485105,0.0003340644],"domain_scores_gemma":[0.9983255,0.00007655993,0.0001498995,0.001193772,0.000005019684,0.0002493098],"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":[0.00001221738,0.0000490649,0.0001095822,0.000037095,0.00005227717,0.00004236655,0.00004689979,0.00005228613,0.00007228571,5.976878e-7,0.9993603,0.0001650708],"study_design_scores_gemma":[0.0001288064,0.00002977153,0.0001299351,0.00002026733,0.0001746363,0.00000212143,0.00002719831,0.00002899215,0.000147662,0.00003076865,0.9989482,0.0003316104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008249945,1.765449e-7,0.00007907992,0.00001629833,0.0003449156,0.0001036007,0.9992467,0.0000618169,0.00006494767],"genre_scores_gemma":[0.00004241415,0.00006718693,0.0006119968,0.0002519625,0.0003875888,0.00001472532,0.9981045,0.00001752156,0.0005020948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4767178,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217434749881141,"score_gpt":0.2484505742723493,"score_spread":0.2267070992842352,"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."}}