{"id":"W6892629139","doi":"10.5281/zenodo.10557910","title":"CFIA-NCFAD/nf-villumina v2.0.1","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Python (programming language); Compatibility (geochemistry); Pipeline (software); Pipeline transport","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":[0.004322555,0.004409017,0.004268004,0.003870748,0.003894617,0.005642465,0.008905813,0.004435753,0.2461701],"category_scores_gemma":[0.01120729,0.004968007,0.00346631,0.002637939,0.001319069,0.004804627,0.005293264,0.005650475,0.4035108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002942102,"about_ca_system_score_gemma":0.003300265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01117196,"about_ca_topic_score_gemma":0.01353133,"domain_scores_codex":[0.9976608,0.0003088427,0.0001719013,0.0008419781,0.0006627254,0.0003539065],"domain_scores_gemma":[0.9968284,0.0007365658,0.0002614691,0.001179721,0.0006231379,0.0003707133],"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":[0.0005481203,0.0000495702,0.001258174,0.001700933,0.0001337321,0.0001523513,0.0002535303,0.0005830955,0.01246608,0.004403002,0.961612,0.01683931],"study_design_scores_gemma":[0.000183212,0.00004232729,0.001404068,0.0003033976,0.00008122048,0.0003153955,0.00006833777,0.002084122,0.02127625,0.004234123,0.9698412,0.0001663893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.001457326,0.0008544501,0.05624729,0.0005225654,0.0007927538,0.0001985384,0.2370905,0.6770254,0.02581112],"genre_scores_gemma":[0.009748656,0.0005545645,0.05608232,0.001396661,0.0001307984,0.001015859,0.3945927,0.513497,0.02298151],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2461701,"threshold_uncertainty_score":0.823521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969465909256936,"score_gpt":0.2419646077906829,"score_spread":0.2122699486981136,"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."}}