{"id":"W6907676854","doi":"10.22008/fk2/3bvf9v/phwvds","title":"temperature_dnorm.csv","year":2023,"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":"Work (physics); Identification (biology); Process (computing)","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":[0.0007020838,0.002563207,0.001616892,0.00274582,0.0005179528,0.00199754,0.002566142,0.001849935,0.1247711],"category_scores_gemma":[0.003046753,0.001173033,0.001278505,0.00637531,0.0003636835,0.001565201,0.001471252,0.001616705,0.1636057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424564,"about_ca_system_score_gemma":0.001865762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05577839,"about_ca_topic_score_gemma":0.07235146,"domain_scores_codex":[0.9992539,0.00009999725,0.0000831986,0.0002667572,0.0001622206,0.000133878],"domain_scores_gemma":[0.9986752,0.0002948292,0.0001292071,0.0003644896,0.0004275645,0.0001088319],"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":[0.00004351377,0.00001026939,0.0006911791,0.0004595713,0.0000259407,0.00001087133,0.00001948097,0.0007080887,0.00007554218,0.0004739237,0.9956974,0.001784224],"study_design_scores_gemma":[0.0001968302,0.00001047207,0.004518347,0.0002285725,0.00002367696,0.00003073758,0.00006121116,0.0009317229,0.0003878523,0.001397798,0.9921731,0.00003960938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004698893,0.00001523061,0.00005552263,0.00001726252,0.00001021821,0.000002882035,0.9990902,0.0003376427,0.0004241025],"genre_scores_gemma":[0.0002982341,0.00002805509,0.0002359358,0.00001824168,0.000004010882,0.0000293367,0.9986134,0.000172961,0.0005998248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8752289,"threshold_uncertainty_score":0.4174008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04131381557363536,"score_gpt":0.2822542614176285,"score_spread":0.2409404458439931,"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."}}