{"id":"W6907801022","doi":"10.22008/fk2/wp1tr3/vttx6p","title":"w50ac1.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":[0.0009420207,0.002967307,0.002274652,0.00433607,0.0007843926,0.003006407,0.003774615,0.002472803,0.2289159],"category_scores_gemma":[0.005334978,0.001375801,0.001302942,0.01005033,0.0004778776,0.002195394,0.002010092,0.002027836,0.2883932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274966,"about_ca_system_score_gemma":0.002058236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05180007,"about_ca_topic_score_gemma":0.07210229,"domain_scores_codex":[0.9990528,0.0001680127,0.00009935532,0.0002945174,0.0001877196,0.0001976261],"domain_scores_gemma":[0.9982103,0.0004900743,0.0001505958,0.0004840667,0.0004833973,0.0001815737],"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":[0.00002144125,0.000006048434,0.0001647542,0.0002672697,0.00001383231,0.000006238968,0.000010963,0.0001970588,0.000025046,0.0002998181,0.9982142,0.0007732533],"study_design_scores_gemma":[0.0002035434,0.000009684733,0.001427251,0.000219274,0.00001964782,0.00002242162,0.00005953096,0.0004178566,0.0001467714,0.00145118,0.9959983,0.00002464751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002575094,0.00002017034,0.00003755977,0.0000220632,0.00001219795,0.000002690384,0.9991478,0.0002629633,0.0004688579],"genre_scores_gemma":[0.0001465779,0.00002923387,0.0001440893,0.00002124794,0.000004790063,0.00003164446,0.9988117,0.000172172,0.0006384802],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7710841,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544896098372598,"score_gpt":0.2798110514549344,"score_spread":0.2343620904712084,"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."}}