{"id":"W6945102150","doi":"10.22008/fk2/wp1tr3/kf17ya","title":"c50tfbw1.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":[0.0009959447,0.002931513,0.002288041,0.004535679,0.0008963498,0.003123124,0.003831644,0.002780351,0.2420238],"category_scores_gemma":[0.006447864,0.001289643,0.001289978,0.01093616,0.0005502242,0.002061628,0.002096356,0.002064074,0.2930387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653163,"about_ca_system_score_gemma":0.002533495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06199938,"about_ca_topic_score_gemma":0.0775544,"domain_scores_codex":[0.9989585,0.0001841186,0.000104433,0.0003355629,0.000208311,0.0002090709],"domain_scores_gemma":[0.997846,0.0006775752,0.0001505901,0.0005439708,0.0005769108,0.0002048982],"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":[0.0000222833,0.000005803768,0.000143451,0.0002957013,0.00001233803,0.000006299029,0.00001184258,0.0002071686,0.0000262928,0.0002849405,0.9982219,0.0007619741],"study_design_scores_gemma":[0.0001906985,0.000008390236,0.001264334,0.0002328534,0.00001869096,0.00002439623,0.00005726669,0.0004005414,0.0001521548,0.001356511,0.996269,0.00002513198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002320336,0.00002052687,0.00003525661,0.00002247159,0.000009826447,0.000002705357,0.9991847,0.000268272,0.0004330799],"genre_scores_gemma":[0.0001317234,0.00002908616,0.0001404217,0.00002019525,0.000003839579,0.00003087436,0.998993,0.0001684217,0.000482533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7579762,"threshold_uncertainty_score":0.8096502,"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."}}