{"id":"W6917413778","doi":"10.57745/q9fusp","title":"MLUCI.20210421.recipeA.gff3","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","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":[0.001807707,0.006743083,0.002760213,0.004471728,0.001766915,0.003987419,0.005619112,0.005041179,0.1304349],"category_scores_gemma":[0.007098109,0.001726189,0.003473013,0.005373142,0.001000732,0.00245595,0.00276909,0.00359524,0.2499608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002999059,"about_ca_system_score_gemma":0.003125529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04696919,"about_ca_topic_score_gemma":0.06444006,"domain_scores_codex":[0.9982107,0.0003823256,0.0001323022,0.0006380506,0.000352643,0.0002840915],"domain_scores_gemma":[0.9977354,0.0006962648,0.00009774682,0.0007642518,0.000499195,0.0002071731],"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":[0.00005910344,0.00002363375,0.0001685366,0.0003720925,0.00003144899,0.00001213409,0.0000137822,0.0003275039,0.0001205947,0.0003150754,0.9967181,0.001838078],"study_design_scores_gemma":[0.0005307966,0.0000430777,0.001671011,0.0002052327,0.0000445743,0.00007435433,0.00006451656,0.001805575,0.001040771,0.00201823,0.9924352,0.00006667712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001884282,0.0001635121,0.0002246148,0.0001087973,0.00007977428,0.0000192963,0.9931735,0.005042774,0.0009991642],"genre_scores_gemma":[0.0003310641,0.0000492095,0.0006349523,0.00005411812,0.00001235589,0.00006265842,0.9975733,0.0005470195,0.0007352898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8695651,"threshold_uncertainty_score":0.4363481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5783643488265726,"score_gpt":0.4798094528988605,"score_spread":0.09855489592771216,"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."}}