{"id":"W6907530722","doi":"10.22008/fk2/wp1tr3/96c8iy","title":"w50vg_4.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":[0.0008197954,0.003187522,0.002332939,0.004386616,0.0007935079,0.003239127,0.003985375,0.002802747,0.2190254],"category_scores_gemma":[0.004545941,0.001552221,0.001516968,0.009582483,0.0005213912,0.002199861,0.002169564,0.002010325,0.2767431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304368,"about_ca_system_score_gemma":0.001871273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04593965,"about_ca_topic_score_gemma":0.06185701,"domain_scores_codex":[0.9991395,0.0001414816,0.00008507474,0.0002872982,0.0001693846,0.0001772435],"domain_scores_gemma":[0.9987395,0.0003740788,0.00009905513,0.0003429542,0.0003171185,0.0001272553],"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":[0.00002536999,0.000007651956,0.0001866114,0.0003205173,0.00001985175,0.000008189849,0.00001507223,0.0002580784,0.00003322724,0.0003226229,0.9977927,0.001009974],"study_design_scores_gemma":[0.0002102746,0.00001025153,0.001574867,0.0002357453,0.0000269716,0.00002727402,0.00006488068,0.0005441592,0.0001910862,0.001733944,0.9953484,0.0000320793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003100061,0.0000229087,0.0000474343,0.00002306779,0.00001192631,0.000003194841,0.998931,0.0004176855,0.000511869],"genre_scores_gemma":[0.0001582832,0.00003014925,0.0001732789,0.00002203229,0.000004533565,0.00003591361,0.9987981,0.0002118476,0.0005658263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7809746,"threshold_uncertainty_score":0.7327131,"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."}}