{"id":"W6936051224","doi":"10.57907/mirri/fjnxfo","title":"MIRRI0058863","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Key (lock); Identification (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001490592,0.002894156,0.002610115,0.004844637,0.001794111,0.004538145,0.004134836,0.003681234,0.2296709],"category_scores_gemma":[0.008386748,0.001146035,0.00138974,0.008533774,0.0007131392,0.002345713,0.003303909,0.001978762,0.319088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688016,"about_ca_system_score_gemma":0.003551093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01608268,"about_ca_topic_score_gemma":0.02952038,"domain_scores_codex":[0.9983587,0.0002774866,0.0001609797,0.0006592101,0.0003027675,0.0002408573],"domain_scores_gemma":[0.9970313,0.0009136171,0.0002685025,0.0007419626,0.0006535751,0.0003910502],"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":[0.000119216,0.00002159642,0.000671943,0.001177757,0.00004192709,0.00002373075,0.00003493534,0.0001606748,0.00023125,0.0005430515,0.9952335,0.001740542],"study_design_scores_gemma":[0.0003713673,0.00002838296,0.002706378,0.000310561,0.00005169545,0.00006202501,0.00007330852,0.0001973395,0.0003763057,0.00104706,0.9947432,0.00003239217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005870953,0.00006059865,0.00004338094,0.00003855203,0.00001587114,0.000006150878,0.9987658,0.0003470522,0.0006639833],"genre_scores_gemma":[0.0002152947,0.0000502115,0.0001998929,0.00005457928,0.000006558098,0.00003799297,0.9986551,0.0001249929,0.0006553775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7703291,"threshold_uncertainty_score":0.7683257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193071515962444,"score_gpt":0.2515604888634226,"score_spread":0.2396297737037982,"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."}}