{"id":"W6963675700","doi":"10.22008/fk2/cs5lka/vaxxuw","title":"c50an4.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":[0.0009976551,0.002656065,0.001961293,0.004562368,0.0008740787,0.002939024,0.003808038,0.002355132,0.2588474],"category_scores_gemma":[0.005428766,0.001232103,0.001428778,0.00965312,0.0005438179,0.001479465,0.001952298,0.001830301,0.298599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653959,"about_ca_system_score_gemma":0.003017981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06893595,"about_ca_topic_score_gemma":0.09643652,"domain_scores_codex":[0.9990333,0.0001595519,0.00008812636,0.0003056752,0.000199125,0.0002141466],"domain_scores_gemma":[0.9980735,0.000494566,0.0001477046,0.0005244318,0.0005695874,0.0001903194],"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":[0.0000202012,0.000004681458,0.0001497113,0.0002555714,0.00001347031,0.000005212795,0.000008618306,0.000176725,0.00002796886,0.0002581742,0.9984221,0.0006575708],"study_design_scores_gemma":[0.0002140087,0.000007848573,0.001308656,0.0001806554,0.00002328138,0.00001981318,0.00004205201,0.0003260226,0.0001465186,0.001032223,0.9966768,0.00002222716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002369304,0.00001644671,0.00003289334,0.00002513225,0.0000111831,0.000003256028,0.9991046,0.0002709522,0.0005119338],"genre_scores_gemma":[0.0001655188,0.00002755885,0.0001723449,0.00002995751,0.000004779835,0.00003247682,0.9986638,0.000224204,0.0006794193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7411525,"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."}}