{"id":"W6907468384","doi":"10.22008/fk2/cs5lka/h0cff8","title":"c50an6.rtl","year":2021,"lang":"bpy","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"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":[0.0009730806,0.002859805,0.00252567,0.004479541,0.0009006775,0.003085029,0.003632135,0.002473092,0.2321203],"category_scores_gemma":[0.005677443,0.001364862,0.001261192,0.01053875,0.0005495803,0.001981283,0.001939568,0.002113375,0.2867453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321831,"about_ca_system_score_gemma":0.002390597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05064142,"about_ca_topic_score_gemma":0.05969288,"domain_scores_codex":[0.9990681,0.0001555006,0.00008627053,0.0003097864,0.0001829246,0.0001974779],"domain_scores_gemma":[0.9981006,0.0005041027,0.0001643941,0.0005069874,0.0005076861,0.0002161655],"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":[0.00002916567,0.000006744081,0.0001844368,0.0003081048,0.00001631261,0.000006429322,0.00001039496,0.0002260562,0.00002938113,0.0002783014,0.9979821,0.0009226229],"study_design_scores_gemma":[0.0002637804,0.00001219001,0.001961852,0.0002244704,0.00002286647,0.0000270815,0.00004754646,0.0004966658,0.0001709305,0.001331373,0.9954119,0.00002928658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002205843,0.00001956557,0.0000304339,0.00001761419,0.00001104712,0.000002648245,0.9992492,0.0002857704,0.0003617475],"genre_scores_gemma":[0.0001642987,0.00002878373,0.0001537786,0.00001972965,0.000006296229,0.00003065146,0.9989512,0.0001841661,0.0004611842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7678797,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04839997110904299,"score_gpt":0.2816380311352333,"score_spread":0.2332380600261903,"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."}}