{"id":"W6888736888","doi":"10.22008/fk2/orktcu/t8pl85","title":"250tfshd.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":[0.0008577683,0.002569982,0.00200717,0.004354542,0.0007396498,0.002909553,0.003071232,0.002145628,0.2286869],"category_scores_gemma":[0.005131667,0.001230987,0.001123142,0.009722359,0.0004809703,0.002010319,0.002038652,0.001797518,0.2836703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420061,"about_ca_system_score_gemma":0.002206707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04900036,"about_ca_topic_score_gemma":0.06237892,"domain_scores_codex":[0.9990832,0.0001629718,0.000103101,0.0002787015,0.0001901746,0.0001818086],"domain_scores_gemma":[0.9982278,0.0004919415,0.0001474905,0.0004634214,0.0005073795,0.000161978],"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":[0.00002211276,0.000006335902,0.0001801176,0.0003049003,0.0000117884,0.000007894428,0.00001303382,0.000210407,0.00002743286,0.000349186,0.9979108,0.000955876],"study_design_scores_gemma":[0.000145113,0.000008361922,0.001222435,0.0002103909,0.00001471058,0.00002448944,0.00006130255,0.0003516077,0.0001465325,0.001130378,0.9966639,0.00002076102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002830141,0.00002257857,0.00003859783,0.00002263487,0.00001159124,0.000002625118,0.9989983,0.0002927196,0.0005825418],"genre_scores_gemma":[0.0001491184,0.00003273776,0.0001366738,0.00001894602,0.000004577882,0.00002557592,0.9988174,0.0001620894,0.0006528479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7713131,"threshold_uncertainty_score":0.765034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04528196375012219,"score_gpt":0.2797044075071317,"score_spread":0.2344224437570095,"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."}}