{"id":"W6955027572","doi":"10.57907/mirri/0ao9bb","title":"MIRRI0052244","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Segmented filamentous bacteria","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":["insufficient_payload"],"category_scores_codex":[0.001393191,0.003085091,0.002688934,0.00622384,0.002193164,0.005111544,0.004309361,0.004004007,0.3228787],"category_scores_gemma":[0.008228522,0.001365474,0.001404346,0.01124159,0.0007820059,0.00276194,0.004097399,0.002327732,0.429192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002314049,"about_ca_system_score_gemma":0.004594503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03067977,"about_ca_topic_score_gemma":0.05013416,"domain_scores_codex":[0.9983133,0.0002276244,0.0001733909,0.0005926794,0.0003578568,0.0003350894],"domain_scores_gemma":[0.9962119,0.001003634,0.0003767898,0.0009296621,0.0009940094,0.0004839791],"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":[0.00007773925,0.00001598017,0.000529915,0.0009748702,0.00002477821,0.00001652001,0.00004011532,0.00009790128,0.0002037603,0.0005184414,0.9961103,0.001389707],"study_design_scores_gemma":[0.0002072659,0.00001800094,0.002417615,0.0002875671,0.00002884431,0.00003159597,0.00007431136,0.00008529107,0.0002638766,0.000665676,0.9958928,0.00002721189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002784945,0.00002973424,0.00002399967,0.00002512227,0.00001141984,0.000004201689,0.9990753,0.0002268269,0.000575506],"genre_scores_gemma":[0.0001453647,0.00004395059,0.0001569755,0.00004357718,0.000006032177,0.00003506955,0.9986826,0.0001284072,0.0007579988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6771213,"threshold_uncertainty_score":0.9658313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048861378873216,"score_gpt":0.2091404577585917,"score_spread":0.1986518439698595,"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."}}