{"id":"W6907507805","doi":"10.22008/fk2/wp1tr3/vdtvd7","title":"w50vgbw11.rtl","year":2022,"lang":"da","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"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":[0.0008461528,0.002958653,0.001870661,0.004402171,0.0007553412,0.003059352,0.003237208,0.002117814,0.1937632],"category_scores_gemma":[0.003971829,0.001289528,0.001221602,0.009594901,0.0004602175,0.001630889,0.001913433,0.001687448,0.292776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116387,"about_ca_system_score_gemma":0.001810025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03975662,"about_ca_topic_score_gemma":0.06323057,"domain_scores_codex":[0.9991422,0.0001439713,0.00008513502,0.0002938311,0.0001589845,0.0001757798],"domain_scores_gemma":[0.9986034,0.0003388101,0.000119707,0.0004219979,0.0003707887,0.0001451898],"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":[0.00002099192,0.00000569306,0.0001802597,0.0002759693,0.00001563872,0.000005898791,0.00001277913,0.0001699312,0.0000378538,0.0002548606,0.9982305,0.0007896648],"study_design_scores_gemma":[0.0001485147,0.000008543994,0.001590998,0.000168231,0.00002321223,0.00002081044,0.00006478321,0.0003465724,0.0001754441,0.001011926,0.9964173,0.0000237223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003218489,0.00001991877,0.00004175366,0.00001969814,0.00000998476,0.000002687082,0.9991007,0.0003342155,0.0004388843],"genre_scores_gemma":[0.000157742,0.00002903905,0.0001599062,0.0000167268,0.000003589127,0.00002722691,0.998822,0.0001808339,0.0006028847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8062369,"threshold_uncertainty_score":0.6482024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568189003421432,"score_gpt":0.2759492485347104,"score_spread":0.2302673585004961,"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."}}