{"id":"W6926200008","doi":"10.22008/fk2/g06yck/mdjjfy","title":"README.md","year":2025,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","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":[0.0007175916,0.002049582,0.001812363,0.004020057,0.0007895856,0.003914532,0.002973317,0.002132936,0.3395213],"category_scores_gemma":[0.007301382,0.0008182427,0.0009596106,0.008902738,0.0003720678,0.002469698,0.002578598,0.001543764,0.429926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051258,"about_ca_system_score_gemma":0.001688391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02155662,"about_ca_topic_score_gemma":0.0327421,"domain_scores_codex":[0.9991584,0.0001526404,0.00008621639,0.0003208902,0.0001337395,0.0001480955],"domain_scores_gemma":[0.9980906,0.0005145498,0.0002192431,0.0004953888,0.0004178321,0.0002623746],"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":[0.00003719324,0.000005385649,0.000284177,0.0002956636,0.00001026607,0.000006165615,0.000009338994,0.00008852837,0.00001407315,0.0003654769,0.9967859,0.002097688],"study_design_scores_gemma":[0.0001312028,0.000008645845,0.0009478129,0.0002858292,0.00001262505,0.00001779337,0.00003944366,0.0001871376,0.0000760235,0.001400353,0.9968781,0.00001490121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002582941,0.00004791437,0.00002612346,0.0000578107,0.00001355075,0.000003608031,0.9980416,0.0003233707,0.001460026],"genre_scores_gemma":[0.0003883664,0.0001152547,0.0001659597,0.0000949508,0.00001564737,0.00005542875,0.9968418,0.0001952756,0.002127297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6604787,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783785816517954,"score_gpt":0.2432946705751656,"score_spread":0.2254568124099861,"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."}}