{"id":"W6926578140","doi":"10.22008/fk2/cs5lka/6swdax","title":"c50tfbw2.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004071899,0.0007425378,0.001515663,0.00009804246,0.0005492264,0.00006449195,0.001087021,0.0007750666,0.1953118],"category_scores_gemma":[0.000583802,0.0005884663,0.0002190583,0.0005242723,0.0008101549,0.0001087328,0.001845069,0.001050459,0.0007420771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001045786,"about_ca_system_score_gemma":0.00006161218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02931005,"about_ca_topic_score_gemma":0.02905294,"domain_scores_codex":[0.9941502,0.001533487,0.001215395,0.001213192,0.001020875,0.0008668299],"domain_scores_gemma":[0.9958514,0.001853159,0.0008623596,0.0009398143,0.00004217297,0.0004511165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002799428,0.000328392,0.7321529,0.0002458336,0.0001345722,0.0001158964,0.00004658933,0.0001844515,0.00000509816,0.0000401058,0.261194,0.005272203],"study_design_scores_gemma":[0.0006079366,0.0007424512,0.6957232,0.000049595,0.0001022721,0.00007211174,0.00003363157,0.0008855166,9.35948e-7,0.000257997,0.3008997,0.000624571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3261593,0.00174819,0.0001159272,0.00009290112,0.0007789523,0.0006556665,0.6692412,0.00001607601,0.001191771],"genre_scores_gemma":[0.3183743,0.005770414,0.0003151367,0.0004382489,0.0002177194,0.00007656102,0.6719909,0.00005429097,0.002762398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1945698,"threshold_uncertainty_score":0.9996567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293110931128268,"score_gpt":0.2397312774571438,"score_spread":0.2168001681458611,"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."}}