{"id":"W6944937440","doi":"10.22008/fk2/cs5lka/7blgyg","title":"w50ac10.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","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":[0.0008942246,0.002866724,0.001891886,0.004394585,0.0007332654,0.002985754,0.003888567,0.002415915,0.2582227],"category_scores_gemma":[0.005215411,0.001184046,0.001442029,0.01003849,0.000496426,0.001815486,0.001909128,0.001858223,0.3226757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167657,"about_ca_system_score_gemma":0.002221146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0483183,"about_ca_topic_score_gemma":0.07004625,"domain_scores_codex":[0.9990919,0.0001449868,0.00008933723,0.0002913845,0.0001897347,0.0001926898],"domain_scores_gemma":[0.9981182,0.0004880267,0.0001385905,0.0005515873,0.0005108801,0.000192723],"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":[0.00002060585,0.000005318805,0.0001391864,0.0002138754,0.00001256889,0.000005174762,0.000007924355,0.0001796588,0.00003045422,0.0002225882,0.998512,0.0006505997],"study_design_scores_gemma":[0.0002480426,0.00001150751,0.001413969,0.0001537336,0.00002437498,0.00002174159,0.00005238366,0.0004753407,0.0001916237,0.001279723,0.996102,0.00002552684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002898751,0.00001514247,0.00003872053,0.0000230655,0.00001217983,0.000003188977,0.9990489,0.0003771462,0.0004527302],"genre_scores_gemma":[0.0001670808,0.00002432775,0.000146786,0.00002307165,0.000004927915,0.00002784297,0.9987856,0.0002076775,0.0006127566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7417773,"threshold_uncertainty_score":0.8638411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04500983883384664,"score_gpt":0.2779404908362142,"score_spread":0.2329306520023676,"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."}}