{"id":"W6907652967","doi":"10.22008/fk2/wp1tr3/y4wrfd","title":"c50tf7.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":[0.0009640207,0.002801568,0.002211856,0.004389751,0.0008315932,0.002987819,0.00374793,0.002636682,0.2657246],"category_scores_gemma":[0.006130091,0.001173896,0.001306673,0.01040166,0.0005190221,0.002097242,0.001985676,0.00202069,0.3197201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156441,"about_ca_system_score_gemma":0.002486515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05725462,"about_ca_topic_score_gemma":0.0736722,"domain_scores_codex":[0.9989335,0.000186305,0.0001119595,0.0003231627,0.0002215056,0.0002236432],"domain_scores_gemma":[0.9977973,0.0006641524,0.0001563507,0.0005362102,0.0006373955,0.0002087026],"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":[0.00002080674,0.000005291992,0.0001256372,0.0002713492,0.00001063964,0.000005562365,0.000008916617,0.0001829211,0.00002202552,0.0002867069,0.9983764,0.0006837589],"study_design_scores_gemma":[0.0001879489,0.000008675292,0.001090842,0.0002329343,0.0000160893,0.00002282224,0.00005028716,0.00037693,0.0001414843,0.001327427,0.996521,0.00002347186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001891008,0.00001870851,0.00003077229,0.00002147533,0.00001059223,0.000002608706,0.999185,0.0002355622,0.0004763747],"genre_scores_gemma":[0.0001246746,0.00002842469,0.0001273957,0.00002255881,0.0000044181,0.00002855968,0.9989762,0.0001587274,0.0005289625],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7342755,"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."}}