{"id":"W6907611699","doi":"10.22008/fk2/cs5lka/b3c0j2","title":"w50vg13.rtl","year":2022,"lang":"cs","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":[0.0009249583,0.003302229,0.002136128,0.00479852,0.0007145355,0.003168793,0.004181918,0.002501992,0.2332415],"category_scores_gemma":[0.004644376,0.001356065,0.001583609,0.01081488,0.0005414282,0.001961813,0.002169599,0.001955082,0.3107306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134724,"about_ca_system_score_gemma":0.0020579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04191463,"about_ca_topic_score_gemma":0.05914145,"domain_scores_codex":[0.9990547,0.0001456181,0.00009334138,0.0003148623,0.0001975679,0.0001938553],"domain_scores_gemma":[0.9984257,0.0004159732,0.000117765,0.0004685142,0.0004080242,0.0001641075],"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":[0.00002298956,0.000006553037,0.0001511912,0.0002635634,0.00001662518,0.000006168726,0.0000110333,0.0002150135,0.00004010085,0.0002499741,0.9981927,0.0008239142],"study_design_scores_gemma":[0.0002644353,0.00001193987,0.001459195,0.0001830705,0.00003119867,0.00002389511,0.00005929627,0.0005822384,0.0002231322,0.001462908,0.9956677,0.00003087247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003185918,0.00001712259,0.00005202637,0.00002342922,0.00001201064,0.000003518899,0.9988393,0.0005487954,0.0004719381],"genre_scores_gemma":[0.0001447821,0.00002377616,0.0001669154,0.0000197598,0.000004130668,0.00002777547,0.9988683,0.0002580695,0.0004864716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7667584,"threshold_uncertainty_score":0.7802706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0451613478436915,"score_gpt":0.2783474259817795,"score_spread":0.233186078138088,"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."}}