{"id":"W6926227889","doi":"10.22008/fk2/wp1tr3/uds13t","title":"wi20cnd.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"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":[0.0009227193,0.003994275,0.002371615,0.004451629,0.001019127,0.002742246,0.005067544,0.002941074,0.1114895],"category_scores_gemma":[0.003732082,0.0009568202,0.00169604,0.006713039,0.0006498471,0.001733742,0.002403082,0.002052494,0.2200469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341604,"about_ca_system_score_gemma":0.001912312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03573832,"about_ca_topic_score_gemma":0.07037298,"domain_scores_codex":[0.999052,0.0001574002,0.00008263384,0.0003096921,0.0001934163,0.0002048381],"domain_scores_gemma":[0.9988515,0.0001904679,0.00009768843,0.0004056652,0.0002831192,0.0001715542],"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":[0.00002656696,0.00001496687,0.0001723241,0.0001910963,0.00001145848,0.000007939605,0.000006263022,0.0001453092,0.00003701876,0.000144915,0.9980646,0.001177536],"study_design_scores_gemma":[0.0003232074,0.00002932112,0.002168737,0.0002109277,0.00002903717,0.0000580931,0.00009278586,0.001068907,0.0003622186,0.001191116,0.9944348,0.00003088457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000119397,0.00005335326,0.00006606986,0.00004389264,0.0000368976,0.00001181816,0.9982268,0.0006771947,0.0007646614],"genre_scores_gemma":[0.0002210528,0.00003057433,0.0001744516,0.00002119113,0.000008035464,0.00004216036,0.9987665,0.00006909113,0.0006669519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8885105,"threshold_uncertainty_score":0.3729694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03458821483455064,"score_gpt":0.2630440614428012,"score_spread":0.2284558466082506,"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."}}