{"id":"W6944900293","doi":"10.22008/fk2/cs5lka/itphbu","title":"c250z10.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":["insufficient_payload"],"category_scores_codex":[0.0009390993,0.002892697,0.002420764,0.004288872,0.0008629308,0.003299613,0.004237799,0.00244828,0.3036265],"category_scores_gemma":[0.005459402,0.001322728,0.001312266,0.01042162,0.0005305639,0.00207525,0.002148212,0.001919471,0.3559526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555263,"about_ca_system_score_gemma":0.002322494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06166401,"about_ca_topic_score_gemma":0.07801501,"domain_scores_codex":[0.9990203,0.0001653265,0.00009185552,0.0003184957,0.0001922473,0.0002117606],"domain_scores_gemma":[0.9981561,0.0005268489,0.0001426437,0.0004674668,0.0005177285,0.0001891633],"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":[0.00002090788,0.000005407457,0.0001262016,0.0002579651,0.00001163486,0.000005134331,0.000009080208,0.0001856404,0.000020667,0.0002884871,0.9983332,0.0007358298],"study_design_scores_gemma":[0.0001960958,0.000008158946,0.001163574,0.0001997949,0.00001646332,0.00001985325,0.00004655045,0.0003543586,0.0001335879,0.001261724,0.9965744,0.00002547156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000184476,0.00001847496,0.00003157691,0.00001929085,0.00001008445,0.000002713247,0.9991367,0.0002659044,0.0004968724],"genre_scores_gemma":[0.0001501658,0.00002959905,0.000146632,0.00002448448,0.000005283045,0.00003494283,0.9987036,0.0002133025,0.0006919582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6963735,"threshold_uncertainty_score":0.9932922,"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."}}