{"id":"W6907256375","doi":"10.22008/fk2/cs5lka/dcdcsa","title":"wi20tf.rtl","year":2022,"lang":"ca","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":[0.0008066465,0.002957288,0.001980129,0.004346651,0.000856464,0.003210097,0.003622164,0.001977475,0.2718994],"category_scores_gemma":[0.005074781,0.001172404,0.001270065,0.01084226,0.0004294673,0.001981854,0.002149222,0.001830317,0.3770134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443405,"about_ca_system_score_gemma":0.002310325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06808004,"about_ca_topic_score_gemma":0.1049935,"domain_scores_codex":[0.9991732,0.0001145681,0.00008631089,0.0002678389,0.0001786986,0.0001792864],"domain_scores_gemma":[0.9981926,0.0003584226,0.0001324749,0.0005860015,0.0005341418,0.0001963696],"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":[0.00001506878,0.000004514559,0.00009197952,0.0001494839,0.000007827667,0.00000353443,0.000007172037,0.00008163939,0.00002030497,0.0001771155,0.9987447,0.0006965339],"study_design_scores_gemma":[0.0001624103,0.000006669959,0.001007428,0.000116472,0.00001670521,0.00001540175,0.00004352438,0.0002741322,0.0001236484,0.0009393303,0.9972776,0.00001675859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002071256,0.00001409733,0.00003518731,0.00002247727,0.000008799455,0.000003290324,0.9988151,0.0004133572,0.000667088],"genre_scores_gemma":[0.0001153722,0.00002536289,0.0001505945,0.00001924771,0.000004298666,0.00003276285,0.9986417,0.0001724188,0.0008383004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7281005,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04223592017263925,"score_gpt":0.2764384678530193,"score_spread":0.23420254768038,"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."}}