{"id":"W6963410599","doi":"10.22008/fk2/cs5lka/pdqein","title":"21907.pdf","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":[0.0009063464,0.002579394,0.002099886,0.004276476,0.0007437405,0.004464617,0.003058824,0.001995154,0.4216143],"category_scores_gemma":[0.005325849,0.001503661,0.001028453,0.01160776,0.0004325624,0.002775292,0.002359069,0.001896908,0.5052703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405979,"about_ca_system_score_gemma":0.001869739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0383301,"about_ca_topic_score_gemma":0.04159034,"domain_scores_codex":[0.9991575,0.0001339019,0.00009507278,0.0002584952,0.0001743101,0.0001807231],"domain_scores_gemma":[0.9980095,0.0005680914,0.0001798342,0.0004829334,0.0005449412,0.0002147396],"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":[0.00001817403,0.00000552691,0.0001310406,0.0002051276,0.000007297985,0.000005098392,0.000009641226,0.0001004993,0.00001341908,0.0003274033,0.9979509,0.001225865],"study_design_scores_gemma":[0.0001194465,0.000007295851,0.001058184,0.0002119188,0.000008189931,0.00001697665,0.00004903113,0.0001777665,0.00008100845,0.001019265,0.9972349,0.00001612712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001787028,0.00001864684,0.00002852647,0.00002863037,0.00001162094,0.000002491617,0.9986218,0.0002876221,0.0009827476],"genre_scores_gemma":[0.0001840493,0.00005407825,0.0001354512,0.00003778156,0.000008705277,0.00003373828,0.9975879,0.0002447564,0.001713613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5783857,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0406611886895792,"score_gpt":0.27495074040419,"score_spread":0.2342895517146108,"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."}}