{"id":"W6955083113","doi":"10.57907/mirri/xoxb65","title":"MIRRI0069713","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":[0.001918807,0.004574731,0.003045833,0.008815674,0.002067441,0.005439557,0.004986572,0.004922564,0.3401724],"category_scores_gemma":[0.01208182,0.001634502,0.002244127,0.01311562,0.001002103,0.002602828,0.003479887,0.002712129,0.4576664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471586,"about_ca_system_score_gemma":0.006234162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03589643,"about_ca_topic_score_gemma":0.05410147,"domain_scores_codex":[0.9978053,0.0003068621,0.0001978007,0.0007492065,0.0005483618,0.0003924927],"domain_scores_gemma":[0.9948716,0.001505529,0.0003966821,0.001245681,0.001310211,0.00067017],"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":[0.00006972836,0.00001677304,0.0002809646,0.0007837685,0.00002317151,0.00001151795,0.00002769012,0.0001398042,0.0001353655,0.0003081505,0.9969201,0.001282993],"study_design_scores_gemma":[0.000376602,0.00002891533,0.001624024,0.0003782991,0.00005366458,0.00003171584,0.00007848728,0.0002469289,0.0003342715,0.001318254,0.9954839,0.0000449408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003004213,0.00004729181,0.00003806808,0.00003387915,0.00002243281,0.00000736424,0.9988294,0.0004084283,0.0005830163],"genre_scores_gemma":[0.0001246113,0.00005117901,0.0002451566,0.00005377656,0.000006978167,0.00004959244,0.9985176,0.000206465,0.0007445796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6598276,"threshold_uncertainty_score":0.941164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168932100911731,"score_gpt":0.2666644071354557,"score_spread":0.2497711970442827,"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."}}