{"id":"W6907603876","doi":"10.22008/fk2/cs5lka/2tkkzu","title":"w50vg4.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":[0.0008854091,0.003383434,0.002133211,0.004780061,0.0007395007,0.003090114,0.004244333,0.002635811,0.2200607],"category_scores_gemma":[0.004565409,0.001306533,0.001660797,0.01037433,0.0005535544,0.001943794,0.002109311,0.002065147,0.2936068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186823,"about_ca_system_score_gemma":0.002032995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04334888,"about_ca_topic_score_gemma":0.06112513,"domain_scores_codex":[0.9990911,0.0001425038,0.00008667141,0.0002979985,0.0001925593,0.0001890278],"domain_scores_gemma":[0.9985095,0.0003968897,0.000105161,0.0004480171,0.0003833928,0.0001570609],"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":[0.00002342342,0.000006829174,0.000142691,0.0002635821,0.00001664346,0.000006120219,0.00001048486,0.0002297809,0.00004113357,0.0002392618,0.9982063,0.0008138858],"study_design_scores_gemma":[0.0002787086,0.00001277835,0.001423251,0.0001841677,0.00003263865,0.00002558853,0.00006010012,0.000681226,0.0002347333,0.001559323,0.9954756,0.00003194707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003663095,0.00001997163,0.0000544452,0.00002701154,0.00001345202,0.000003932084,0.9987264,0.0006324719,0.0004856215],"genre_scores_gemma":[0.0001537738,0.00002558195,0.0001728468,0.00002115161,0.000004353349,0.00002820224,0.9988575,0.0002597558,0.0004767486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7799393,"threshold_uncertainty_score":0,"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."}}