{"id":"W6944739662","doi":"10.22008/fk2/cs5lka/cltrjx","title":"chrisdtm.txt","year":2022,"lang":"en","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":["insufficient_payload"],"category_scores_codex":[0.0008155657,0.002271908,0.00166583,0.004087315,0.0007287901,0.003501971,0.002838797,0.001635316,0.3192812],"category_scores_gemma":[0.005001506,0.0010524,0.001004065,0.01017042,0.0003879546,0.002110204,0.002214647,0.001636878,0.3638799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013777,"about_ca_system_score_gemma":0.001890487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04341994,"about_ca_topic_score_gemma":0.07341742,"domain_scores_codex":[0.9991554,0.00013281,0.00008782149,0.0002772008,0.0001827796,0.0001640197],"domain_scores_gemma":[0.9980803,0.000532302,0.0001740452,0.0005117299,0.0005097451,0.0001918891],"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":[0.00001591839,0.000002742576,0.0001056551,0.0002191838,0.000006741755,0.000004498518,0.00001276787,0.00008691233,0.00001931299,0.0003366868,0.998307,0.0008825912],"study_design_scores_gemma":[0.00005772372,0.000003527047,0.0007039834,0.0001219658,0.000008803096,0.00001150008,0.00003759576,0.0001232426,0.00008097314,0.0007288987,0.9981111,0.00001057562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001971417,0.00001933355,0.00003624778,0.00002905289,0.000008762429,0.000002947484,0.9982863,0.0003520787,0.001245499],"genre_scores_gemma":[0.0001736958,0.00004668536,0.0002222769,0.0000326414,0.000005808454,0.00003527475,0.9977616,0.0003004789,0.001421434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6807188,"threshold_uncertainty_score":0.9709628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04222090164483146,"score_gpt":0.2760714095854415,"score_spread":0.2338505079406101,"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."}}