{"id":"W6907660553","doi":"10.22008/fk2/cs5lka/thq6nq","title":"c250ch10.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":["insufficient_payload"],"category_scores_codex":[0.0009283994,0.002908565,0.002153811,0.004678875,0.0009167892,0.003261311,0.00487572,0.002384933,0.3344494],"category_scores_gemma":[0.005640579,0.001305887,0.001538443,0.01061707,0.0005857238,0.001768093,0.002174524,0.001954301,0.4043083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507028,"about_ca_system_score_gemma":0.002728612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06417218,"about_ca_topic_score_gemma":0.08916845,"domain_scores_codex":[0.9990036,0.0001469918,0.00008387858,0.0003351181,0.0002068075,0.0002236585],"domain_scores_gemma":[0.997747,0.0006199645,0.0001402472,0.000651971,0.0006116208,0.0002291567],"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":[0.0000186226,0.000004279069,0.00009873024,0.0001900717,0.00001040269,0.00000434399,0.000006692515,0.0001569078,0.00002716934,0.0002003021,0.998673,0.0006096602],"study_design_scores_gemma":[0.0002082032,0.000008752876,0.001179308,0.0001266241,0.00002152549,0.00001989061,0.00004033987,0.0003762232,0.000189492,0.001142511,0.9966596,0.00002750373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002393831,0.00001444273,0.00003997368,0.00002063062,0.00001049645,0.000003474662,0.9988692,0.0004862765,0.0005314164],"genre_scores_gemma":[0.0001609504,0.00002378178,0.0001685943,0.00002529255,0.000005258168,0.00003341739,0.9985416,0.0003248119,0.000716279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6655506,"threshold_uncertainty_score":0.9493271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04500983883384664,"score_gpt":0.2779404908362142,"score_spread":0.2329306520023676,"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."}}