{"id":"W6888750836","doi":"10.22008/fk2/wp1tr3/3rgmtq","title":"wrptpga4.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":[0.0009026788,0.003104799,0.001949979,0.005132962,0.0007045537,0.002939632,0.004072957,0.002499931,0.2373724],"category_scores_gemma":[0.005649291,0.001352558,0.001809207,0.009490342,0.0005071362,0.001615456,0.002199281,0.002038116,0.2770755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256186,"about_ca_system_score_gemma":0.002320856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04787007,"about_ca_topic_score_gemma":0.06473729,"domain_scores_codex":[0.9990249,0.0001573471,0.000106403,0.0003179463,0.0001957275,0.0001977641],"domain_scores_gemma":[0.99793,0.0006310299,0.0001587952,0.0005914696,0.0004856123,0.0002030619],"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":[0.00003225591,0.000007512147,0.0001873976,0.0003464178,0.00001979903,0.000008353038,0.00001254752,0.0002280421,0.00004967076,0.0002638142,0.9979472,0.0008971823],"study_design_scores_gemma":[0.0003605601,0.00001631104,0.002017829,0.000206953,0.00003732126,0.00003286163,0.00006395991,0.0005853791,0.0002519955,0.00135886,0.9950345,0.0000335828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003220972,0.00001456436,0.00003619464,0.00001900007,0.000008691802,0.000003304502,0.9990947,0.0004507029,0.0003405686],"genre_scores_gemma":[0.000164155,0.00002137841,0.0001626822,0.00001836946,0.000003636415,0.00003191593,0.9989222,0.0002220256,0.0004536776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7626276,"threshold_uncertainty_score":0.7940898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524860928036848,"score_gpt":0.2782915571110574,"score_spread":0.2330429478306889,"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."}}