{"id":"W6888776835","doi":"10.22008/fk2/3bvf9v/mszw4m","title":"temperature.csv","year":2024,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0008356944,0.004509523,0.002784655,0.005865522,0.0008033109,0.003446887,0.00351786,0.002736166,0.2244235],"category_scores_gemma":[0.004234331,0.001748822,0.001931887,0.01220517,0.0005363395,0.002362987,0.002238724,0.00240545,0.3227257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592517,"about_ca_system_score_gemma":0.00255874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06741798,"about_ca_topic_score_gemma":0.06671994,"domain_scores_codex":[0.999036,0.0001348723,0.00009727079,0.0002947201,0.0002241116,0.0002130226],"domain_scores_gemma":[0.9980589,0.000371282,0.0001974634,0.0005536694,0.0005509709,0.0002677094],"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":[0.00003994453,0.000009250294,0.0002965902,0.000342839,0.00002121373,0.000007328556,0.00001775961,0.0004743691,0.00003677305,0.0002927532,0.9969819,0.001479215],"study_design_scores_gemma":[0.000207925,0.00001155223,0.00231312,0.0002504158,0.00002691418,0.00002296929,0.00006043989,0.000667858,0.0001755586,0.001579027,0.9946398,0.00004449814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003012699,0.00002749828,0.00003426397,0.00002177688,0.00001690095,0.00000276743,0.998976,0.0003931972,0.0004974628],"genre_scores_gemma":[0.0002421368,0.00005545874,0.0001992113,0.00003398337,0.000009756549,0.00003885552,0.9981451,0.0002648153,0.001010689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7755765,"threshold_uncertainty_score":0.7507715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976674134171339,"score_gpt":0.2758836187324423,"score_spread":0.2461168773907289,"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."}}