{"id":"W6907519738","doi":"10.22008/fk2/wp1tr3/78lp60","title":"w50tfbw4.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":[0.0009129638,0.00280743,0.001830138,0.005067698,0.0007861344,0.002934183,0.003770895,0.002514223,0.2321673],"category_scores_gemma":[0.006061568,0.00114918,0.001408393,0.01133649,0.0005411887,0.001765474,0.00206646,0.001904974,0.2865616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137642,"about_ca_system_score_gemma":0.002470867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05199594,"about_ca_topic_score_gemma":0.06596755,"domain_scores_codex":[0.999054,0.0001491635,0.00009823949,0.0002966777,0.0001995315,0.0002024393],"domain_scores_gemma":[0.9979492,0.0005838735,0.000140991,0.0005452434,0.0005696729,0.0002110447],"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":[0.00002536877,0.000006446063,0.0001519143,0.0002647685,0.00001318041,0.000006365012,0.00001038586,0.0001808667,0.00003945602,0.0002492729,0.9983132,0.0007388091],"study_design_scores_gemma":[0.0002538381,0.000011645,0.001612721,0.0001785678,0.00002536033,0.00002458807,0.00006663962,0.0004874359,0.0002190838,0.001382552,0.9957107,0.00002679384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003398457,0.00001558964,0.0000382978,0.00002382859,0.00001009059,0.000003182983,0.9991623,0.0003280929,0.0003845996],"genre_scores_gemma":[0.0001486835,0.00002257544,0.0001308125,0.0000176434,0.000003674611,0.000028315,0.9990006,0.0001612649,0.0004864713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7678327,"threshold_uncertainty_score":0.776677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526660351752165,"score_gpt":0.278450120105301,"score_spread":0.2331835165877793,"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."}}