{"id":"W6944893369","doi":"10.22008/fk2/cs5lka/kim8ef","title":"c50z10bw1.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":[0.0009652108,0.002632809,0.002247582,0.004157063,0.0008529673,0.003042757,0.00358529,0.002411889,0.2411735],"category_scores_gemma":[0.005777728,0.001289334,0.001175745,0.01042956,0.0004998523,0.001905725,0.001931673,0.001851453,0.2680328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706553,"about_ca_system_score_gemma":0.002783256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08786541,"about_ca_topic_score_gemma":0.1117705,"domain_scores_codex":[0.9990277,0.000160497,0.00009703761,0.0003057412,0.0001984179,0.0002105965],"domain_scores_gemma":[0.9980832,0.0005391139,0.0001548508,0.0004329424,0.0006078561,0.0001821035],"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":[0.00002217811,0.000005215407,0.0001861662,0.0003022433,0.00001381519,0.000005630966,0.00001103868,0.0002167619,0.00002212218,0.0003343075,0.9981205,0.0007599808],"study_design_scores_gemma":[0.0001787054,0.000007361578,0.001550497,0.0002436293,0.0000191997,0.00001930008,0.00005559591,0.0003478422,0.0001326491,0.001198299,0.9962217,0.00002530464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001971783,0.0000203436,0.00002833403,0.00002013617,0.000009812564,0.000002478058,0.9992985,0.0001624805,0.0004381592],"genre_scores_gemma":[0.000158706,0.00003498539,0.0001412189,0.00002321269,0.000004424139,0.00003374625,0.9987792,0.0001501951,0.0006742061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7588265,"threshold_uncertainty_score":0.8068057,"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."}}