{"id":"W6963510361","doi":"10.22008/fk2/cs5lka/04aisz","title":"c50acbw3.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":[0.001056743,0.003010195,0.002067026,0.005592364,0.001016293,0.003524632,0.004224677,0.002893333,0.2691572],"category_scores_gemma":[0.00705981,0.001202879,0.001554089,0.01273282,0.0006118605,0.001793863,0.002141306,0.002089169,0.3148851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800776,"about_ca_system_score_gemma":0.003361131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07716674,"about_ca_topic_score_gemma":0.09866371,"domain_scores_codex":[0.9988236,0.0001893185,0.0001148271,0.0003763112,0.0002516798,0.0002442227],"domain_scores_gemma":[0.9971063,0.000830604,0.0001813685,0.0007428855,0.0008666392,0.0002722633],"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":[0.0000212209,0.000004716064,0.0001241349,0.0002426585,0.00001200316,0.000004811158,0.000007842897,0.0001602389,0.00002697993,0.0002236978,0.9986172,0.0005544979],"study_design_scores_gemma":[0.0002218889,0.000008726835,0.00126931,0.0001786534,0.00002479492,0.0000218549,0.00004993569,0.0004162866,0.0001750792,0.001208828,0.9963971,0.00002763142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002295962,0.00001687727,0.00002910415,0.00002193553,0.000009232873,0.000003061992,0.9992096,0.000306004,0.0003811826],"genre_scores_gemma":[0.0001412228,0.00002449974,0.0001389426,0.00002349816,0.000004006634,0.00002944203,0.9989849,0.0001915943,0.0004619342],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7308428,"threshold_uncertainty_score":0.9004207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04515662627739211,"score_gpt":0.2783563147899895,"score_spread":0.2331996885125973,"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."}}