{"id":"W6944832567","doi":"10.22008/fk2/wp1tr3/bfvlkf","title":"w50ac_4.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":[0.0008817705,0.002600029,0.001781707,0.004729202,0.0008641388,0.003130803,0.003970502,0.002631595,0.2667371],"category_scores_gemma":[0.005774634,0.001313635,0.001493024,0.01018565,0.0005306173,0.001744039,0.002054688,0.001913633,0.2814571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482568,"about_ca_system_score_gemma":0.002774217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06586987,"about_ca_topic_score_gemma":0.08309573,"domain_scores_codex":[0.999051,0.0001425451,0.0000940645,0.0003076131,0.0001948681,0.0002098856],"domain_scores_gemma":[0.997825,0.0006477579,0.0001570152,0.0005563488,0.000600479,0.000213409],"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":[0.00002705076,0.000006652,0.0001850463,0.0002774162,0.00001558505,0.000006542778,0.00001043121,0.0001924615,0.00003557724,0.0002861448,0.9982662,0.0006909799],"study_design_scores_gemma":[0.0002618149,0.00001152736,0.001831993,0.0001719616,0.0000271313,0.00002158173,0.00005936785,0.0004240762,0.0002138344,0.001236998,0.9957105,0.00002923555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002969608,0.00001350651,0.00002795831,0.00002191771,0.000009728567,0.000002980903,0.9992378,0.0002538325,0.0004026252],"genre_scores_gemma":[0.0001800679,0.00002227704,0.0001281296,0.00002332878,0.000004415571,0.00003288483,0.9988139,0.0001566208,0.0006383483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7332629,"threshold_uncertainty_score":0.8923245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448767905378657,"score_gpt":0.2790677214924387,"score_spread":0.234190930954573,"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."}}