{"id":"W6888716709","doi":"10.22008/fk2/wp1tr3/cqocxo","title":"wi20anfp.rtl","year":2021,"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":"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":[0.0008489859,0.002765772,0.001991617,0.004489923,0.0006933645,0.002752242,0.00343104,0.002094474,0.215544],"category_scores_gemma":[0.005014329,0.001206865,0.001123979,0.01037457,0.000407185,0.002239789,0.001937637,0.001799195,0.2663222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421422,"about_ca_system_score_gemma":0.001964441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05434279,"about_ca_topic_score_gemma":0.07021695,"domain_scores_codex":[0.9991505,0.0001343532,0.00008611276,0.0002694022,0.0001820156,0.000177616],"domain_scores_gemma":[0.9984542,0.0003903581,0.0001405789,0.0004043855,0.000449807,0.000160728],"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":[0.00001853936,0.000006138912,0.0001673104,0.0002171705,0.00001127364,0.000005713768,0.000009820315,0.0001547677,0.00002068203,0.0002992794,0.998125,0.0009643392],"study_design_scores_gemma":[0.0001438795,0.000008037444,0.001431869,0.0001741907,0.00001478163,0.00002016921,0.00005221272,0.0003938906,0.0001324837,0.001254588,0.9963543,0.00001955348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002430966,0.00001767063,0.00003747436,0.00002180094,0.000009651189,0.000002594601,0.9991173,0.0002547868,0.0005144395],"genre_scores_gemma":[0.0001395431,0.00002726844,0.0001412157,0.0000186417,0.000004194528,0.00003266548,0.9988424,0.0001336375,0.0006604142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.784456,"threshold_uncertainty_score":0.7210664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04463533674180217,"score_gpt":0.2788603403289338,"score_spread":0.2342250035871316,"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."}}