{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002610869,0.0003213078,0.0002586975,0.00004883014,0.000148048,0.00003724046,0.0006074784,0.0003839532,0.6655107],"category_scores_gemma":[0.0002009568,0.0002769145,0.000241484,0.00007557614,0.00004961449,8.628157e-7,0.0008276278,0.0004088171,0.01791783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002615556,"about_ca_system_score_gemma":0.0001210113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006259691,"about_ca_topic_score_gemma":0.00002923162,"domain_scores_codex":[0.9982458,0.0001824236,0.0003140536,0.000665218,0.0002083189,0.0003841521],"domain_scores_gemma":[0.9990078,0.00003361461,0.000186733,0.0006187806,0.00004159504,0.000111492],"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":[0.00003901944,0.0001079369,0.00004219709,0.00002146987,0.00006142567,0.00004242588,0.00000160923,0.00001716965,0.007921816,0.000002573092,0.9907205,0.001021911],"study_design_scores_gemma":[0.0002985467,0.0002077792,0.00002554626,0.00001011583,0.00003618727,0.00002949546,0.00001861572,0.000002549911,0.002076388,0.00003093381,0.9968957,0.0003681866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004277162,0.001541918,0.00002996319,0.000236599,0.0007558905,0.0001817558,0.9929072,0.00002754601,0.00004198899],"genre_scores_gemma":[0.0004028097,0.0004734327,0.0001537658,0.001280579,0.00103798,0.00002666176,0.994271,0.00002196143,0.002331842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6475929,"threshold_uncertainty_score":0.9999683,"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."}}