{"id":"W6945049969","doi":"10.22008/fk2/wp1tr3/9chfob","title":"w250z10.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":[0.0008937569,0.002907425,0.002387876,0.004122872,0.0007499222,0.003177344,0.004047451,0.002257796,0.2764982],"category_scores_gemma":[0.004866766,0.001446987,0.001281796,0.009954617,0.0004905742,0.002209528,0.002197359,0.001901289,0.3460924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180771,"about_ca_system_score_gemma":0.001811945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04598296,"about_ca_topic_score_gemma":0.06156471,"domain_scores_codex":[0.9991183,0.0001546293,0.00008847189,0.0002863661,0.0001688974,0.0001833126],"domain_scores_gemma":[0.9985252,0.0003979276,0.0001307334,0.0003987288,0.0003888361,0.0001585586],"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":[0.0000224512,0.000006637214,0.0001559223,0.0002662011,0.00001437724,0.00000617683,0.00001175998,0.0002018998,0.00002560743,0.0003221116,0.9980573,0.0009094232],"study_design_scores_gemma":[0.0002084843,0.000009792605,0.001341378,0.0001949716,0.0000182396,0.00001988471,0.00005925894,0.0003896849,0.0001478134,0.001488767,0.9960967,0.00002515552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002409953,0.00001910089,0.00004359888,0.00002139562,0.00001208776,0.000002896654,0.9990361,0.0003094062,0.0005313691],"genre_scores_gemma":[0.0001651021,0.00002999678,0.0001614451,0.00002285894,0.000005772479,0.00003671222,0.9985549,0.0002258859,0.0007973599],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7235018,"threshold_uncertainty_score":0.9249785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04518586524546525,"score_gpt":0.2792957928157583,"score_spread":0.234109927570293,"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."}}