{"id":"W6898769741","doi":"10.57907/mirri/gb0xs2","title":"MIRRI0016237","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","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":[0.001795916,0.004239074,0.002693726,0.00902233,0.002059518,0.005698033,0.004311066,0.004419066,0.4253897],"category_scores_gemma":[0.01202834,0.00168344,0.001922586,0.01365639,0.001111904,0.002708156,0.003907247,0.002536374,0.5006999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002916217,"about_ca_system_score_gemma":0.006939213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05319511,"about_ca_topic_score_gemma":0.08153326,"domain_scores_codex":[0.9979533,0.0002753669,0.0001789635,0.0006820249,0.0005013006,0.0004090378],"domain_scores_gemma":[0.9942122,0.001715864,0.0004345601,0.001313232,0.001493475,0.0008305479],"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":[0.00004346271,0.00001259842,0.0002070925,0.0005835966,0.00001451056,0.000007117212,0.00002840254,0.00008764207,0.00007577697,0.0002757274,0.9977372,0.0009267973],"study_design_scores_gemma":[0.0003319135,0.00001918111,0.0014636,0.0003423855,0.00003539131,0.00002182811,0.00008665361,0.0001636981,0.0002277501,0.001067274,0.9962022,0.00003809359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002183994,0.00002966076,0.00002579514,0.00003386748,0.00001824907,0.000006363706,0.9989206,0.0003255245,0.0006180729],"genre_scores_gemma":[0.0001333366,0.00005167589,0.0002288727,0.00006552423,0.000008003944,0.00005913302,0.9980589,0.000258687,0.001135832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5746104,"threshold_uncertainty_score":0.8196119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725240908474273,"score_gpt":0.2679625787244814,"score_spread":0.2507101696397387,"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."}}