{"id":"W6888857848","doi":"10.22008/fk2/wp1tr3/hb3scv","title":"wshdca4.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":[0.0009763411,0.003469935,0.002153456,0.005637934,0.0008710365,0.003209195,0.004437414,0.00273507,0.1918249],"category_scores_gemma":[0.005473758,0.001286793,0.002112319,0.01031747,0.0006019945,0.001734243,0.002121713,0.002210202,0.2520678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507348,"about_ca_system_score_gemma":0.002998105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05917941,"about_ca_topic_score_gemma":0.08137209,"domain_scores_codex":[0.9989201,0.0001673095,0.0001092107,0.0003217954,0.0002419463,0.0002396476],"domain_scores_gemma":[0.9978681,0.0005357451,0.0001441591,0.0006374017,0.0005952075,0.0002193799],"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":[0.00002851585,0.000007530203,0.000152385,0.0002551429,0.000018487,0.000006266067,0.000007774885,0.0002025295,0.00004670126,0.0002201641,0.9983272,0.0007274144],"study_design_scores_gemma":[0.00035136,0.0000159862,0.001994465,0.0001739672,0.00004054878,0.00003266393,0.00006256459,0.0007834964,0.0003489021,0.001379507,0.9947789,0.00003759043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000356856,0.00001609572,0.0000361468,0.00002287344,0.00001252618,0.000003858035,0.9991026,0.000473527,0.000296882],"genre_scores_gemma":[0.0001431258,0.00002016145,0.0001476628,0.00001643491,0.000004302601,0.00002671078,0.999106,0.0001491848,0.0003864036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8081751,"threshold_uncertainty_score":0.6417181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508082152184557,"score_gpt":0.2783017798559944,"score_spread":0.2332209583341489,"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."}}