{"id":"W6917380677","doi":"10.57907/mirri/fuorc0","title":"MIRRI0127676","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Organism; Circumscription; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009820939,0.0003513106,0.0003290225,0.0002639958,0.0002150607,0.0001943042,0.003450046,0.0002180047,0.7650001],"category_scores_gemma":[0.0003579505,0.0003652897,0.0001789914,0.0004482471,0.00004093084,0.0003185053,0.001379685,0.0007942747,0.156519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197053,"about_ca_system_score_gemma":0.0002798016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001227119,"about_ca_topic_score_gemma":0.00000913772,"domain_scores_codex":[0.9970027,0.0005023611,0.0005197006,0.0007985976,0.0007215277,0.0004551426],"domain_scores_gemma":[0.9968421,0.0001677728,0.0004222892,0.002347689,0.00007257499,0.0001475673],"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":[0.00000469257,0.00009409047,0.000002042958,0.00003588271,0.00002272465,0.00005281662,0.0000361174,0.00003231054,0.00001977688,0.002418024,0.9919279,0.005353596],"study_design_scores_gemma":[0.0001934668,0.00004415547,0.00001444639,0.00001590802,0.00002112658,0.00005267604,0.00001016906,0.0009368545,0.0002308062,0.0009648902,0.9971268,0.0003886787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004119257,0.0003693146,0.05340814,0.0006180757,0.003315391,0.0002913635,0.9416954,0.000249511,0.00004868326],"genre_scores_gemma":[8.041949e-7,0.0002208845,0.1670684,0.0008030342,0.0002744713,0.0001080794,0.8303641,0.00002047113,0.00113973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6084811,"threshold_uncertainty_score":0.9998799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307622731200219,"score_gpt":0.2864356605247996,"score_spread":0.2633594332127974,"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."}}