{"id":"W6926774724","doi":"10.22008/fk2/wp1tr3/ketwul","title":"wana4.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":[0.001112057,0.00343,0.002516209,0.004657364,0.0009185576,0.003492937,0.004100792,0.002695178,0.2685454],"category_scores_gemma":[0.005603385,0.001429377,0.00191619,0.009581315,0.0005281226,0.002286135,0.002472631,0.002488739,0.3327119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001387391,"about_ca_system_score_gemma":0.002135375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03862592,"about_ca_topic_score_gemma":0.05463845,"domain_scores_codex":[0.9989139,0.0002139142,0.0001153222,0.0003454216,0.0001956312,0.0002158458],"domain_scores_gemma":[0.9980982,0.0005813202,0.0001461993,0.0005471118,0.000433475,0.0001937212],"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":[0.00002742963,0.000007880876,0.000160918,0.0003524346,0.00001859476,0.000006379999,0.00001287941,0.0002133359,0.00003109468,0.0003393024,0.9979219,0.000907906],"study_design_scores_gemma":[0.0002642631,0.00001204326,0.001255854,0.0002554963,0.00002746079,0.00002454333,0.00006474465,0.0004648086,0.0001733045,0.001826175,0.995602,0.00002930362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002113702,0.0000227069,0.00003955832,0.00002296495,0.00001194467,0.000002844174,0.9990639,0.0003895509,0.0004254322],"genre_scores_gemma":[0.0001459566,0.00003549559,0.0001976751,0.00002740147,0.000005418678,0.00003787387,0.9987471,0.0002250243,0.0005781635],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7314546,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04422045583555929,"score_gpt":0.2779295215477051,"score_spread":0.2337090657121458,"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."}}