{"id":"W6907558917","doi":"10.22008/fk2/cs5lka/5rcpik","title":"w50vgbw11.rtl","year":2022,"lang":"da","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Linguistics and Cultural Studies","field":"Arts and Humanities","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00167228,0.0007809803,0.001602398,0.000108379,0.001690701,0.0002321176,0.0007036702,0.0003949898,0.1586691],"category_scores_gemma":[0.001229718,0.0005224211,0.0002822584,0.0001482398,0.001359838,0.00005950437,0.001439794,0.0009200993,0.0002094959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003353699,"about_ca_system_score_gemma":0.00005693522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02563307,"about_ca_topic_score_gemma":0.02076559,"domain_scores_codex":[0.9957157,0.000879221,0.00103163,0.0009188217,0.0006878335,0.0007667855],"domain_scores_gemma":[0.9968016,0.001339205,0.000630082,0.0005080928,0.0004667741,0.0002542546],"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":[0.0004735347,0.0004246331,0.04632937,0.0003770407,0.0006663671,0.0001868571,0.0006168,0.000003526808,4.878179e-7,0.002256115,0.9459556,0.002709607],"study_design_scores_gemma":[0.0006576548,0.0009170743,0.1582657,0.00005418461,0.0002592053,0.00001692527,0.0004044786,0.000008932517,3.87637e-7,0.0008239102,0.8378958,0.0006957781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05842194,0.01872686,0.000001988179,0.0002434967,0.001973546,0.0004907291,0.9138764,0.0000280445,0.006236985],"genre_scores_gemma":[0.1755839,0.02642217,0.00002509362,0.0006744936,0.001635432,0.00007687139,0.7803736,0.00004425855,0.01516419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1584596,"threshold_uncertainty_score":0.9997227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0637094920069497,"score_gpt":0.256820005292945,"score_spread":0.1931105132859953,"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."}}