{"id":"W6963693698","doi":"10.22008/fk2/cs5lka/mqlugi","title":"w50an2.rtl","year":2022,"lang":"gd","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":[0.0008368312,0.002619887,0.001783863,0.004065613,0.0006735589,0.002684215,0.003364624,0.002020012,0.2168832],"category_scores_gemma":[0.004350376,0.001261124,0.001312331,0.008638369,0.0004690311,0.001499248,0.001963936,0.001700382,0.2640733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136115,"about_ca_system_score_gemma":0.002058958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04513761,"about_ca_topic_score_gemma":0.06989395,"domain_scores_codex":[0.9992309,0.0001254517,0.00007535212,0.0002505175,0.0001508759,0.0001667925],"domain_scores_gemma":[0.9986399,0.0003326467,0.000128467,0.000396465,0.0003542932,0.0001482439],"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":[0.00002398934,0.000006343486,0.0002107058,0.000288037,0.00001796662,0.000007411196,0.00001252637,0.0002009599,0.00004129114,0.0002888116,0.9980149,0.0008869715],"study_design_scores_gemma":[0.0002414264,0.00001005481,0.001778248,0.000180675,0.00002716829,0.00002268704,0.00005706028,0.0003831983,0.000180945,0.001180356,0.9959154,0.00002289808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003467604,0.00001584401,0.00004258166,0.00002551774,0.0000116606,0.000003287734,0.999083,0.000285905,0.0004975084],"genre_scores_gemma":[0.0001914335,0.00002692745,0.0001775884,0.0000252737,0.000004791836,0.00003456429,0.9985681,0.0002155259,0.000755827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7831168,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610757814897802,"score_gpt":0.2769672454181242,"score_spread":0.2308596672691461,"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."}}