{"id":"W6950612863","doi":"10.5281/zenodo.7697502","title":"GMELab/RV-EXCALIBER: RV-EXCALIBER v0.1.6","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"","keywords":"Control (management); Test (biology); Context (archaeology); Identification (biology); Association (psychology); Set (abstract data type)","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":[],"consensus_categories":[],"category_scores_codex":[0.01426592,0.002060291,0.001966398,0.003875535,0.0009545316,0.003456497,0.004856339,0.002191383,0.09988783],"category_scores_gemma":[0.05249247,0.001685528,0.002080359,0.003868768,0.00101101,0.001402162,0.003910317,0.002373998,0.07982383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006303969,"about_ca_system_score_gemma":0.002522763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002784343,"about_ca_topic_score_gemma":0.004829419,"domain_scores_codex":[0.9937995,0.003011015,0.0004864335,0.001659167,0.0007509318,0.0002929352],"domain_scores_gemma":[0.9864051,0.007421459,0.0007333132,0.004221569,0.0009152588,0.0003032447],"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":[0.001227468,0.0001727969,0.009807362,0.001555058,0.00123354,0.0003877441,0.0002815848,0.0121478,0.005090664,0.02107025,0.8265854,0.1204403],"study_design_scores_gemma":[0.001817329,0.0002626687,0.01220389,0.0005041313,0.0005884942,0.001175845,0.00009894873,0.07196714,0.01277545,0.09164722,0.8067071,0.0002517691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004964529,0.0006568927,0.5859749,0.001120847,0.0005627872,0.0008458796,0.2326926,0.1620306,0.01115098],"genre_scores_gemma":[0.03136539,0.0003063557,0.5774941,0.001593759,0.0003700095,0.004604662,0.2816175,0.08969755,0.01295067],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.09988783,"threshold_uncertainty_score":0.3341581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949275129581361,"score_gpt":0.2340602173309515,"score_spread":0.2145674660351379,"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."}}