{"id":"W4398571586","doi":"10.7910/dvn/mapgnu/hpylne","title":"GHGSat_CH4_08nov2018_source1.npy","year":2019,"lang":"lt","type":"dataset","venue":"Harvard Dataverse","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"GHGSat (Canada)","funders":"","keywords":"Neuropeptide Y receptor; Internal medicine; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008116065,0.002773134,0.0014842,0.004155697,0.0007400774,0.00277008,0.002641648,0.001646298,0.1824944],"category_scores_gemma":[0.004143008,0.001220464,0.001305331,0.01057546,0.0005370739,0.002041777,0.002117274,0.001816528,0.1722162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001985325,"about_ca_system_score_gemma":0.002412844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05972969,"about_ca_topic_score_gemma":0.05687123,"domain_scores_codex":[0.9992235,0.00009894966,0.00008858708,0.0002055979,0.0002114065,0.0001719073],"domain_scores_gemma":[0.9985536,0.0003216543,0.0001549096,0.0003445888,0.0004792699,0.000146053],"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":[0.00003030319,0.000007931725,0.0004276463,0.0004272409,0.00003043611,0.000009049447,0.00001770024,0.0003125909,0.00008801613,0.0006905574,0.9967119,0.001246722],"study_design_scores_gemma":[0.0001704596,0.000007140011,0.002826513,0.0001925166,0.00002451063,0.00001582728,0.00006053662,0.0003164631,0.0004097511,0.001482139,0.9944623,0.00003174345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003175556,0.00001234988,0.00003088422,0.00002363183,0.00001172475,0.000002730227,0.9990336,0.0002586059,0.0005948177],"genre_scores_gemma":[0.0003714423,0.0000376978,0.0001867274,0.00002709123,0.00000591362,0.00003925615,0.9982597,0.0002966684,0.0007754989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8175056,"threshold_uncertainty_score":0.6105045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159421704608299,"score_gpt":0.2167594584337884,"score_spread":0.1951652413877054,"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."}}