{"id":"W6898798494","doi":"10.57907/mirri/dbenlm","title":"MIRRI0028500","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); Key (lock)","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":[0.001735219,0.004161458,0.002735318,0.007673103,0.001844456,0.005495911,0.004465895,0.004178937,0.4508999],"category_scores_gemma":[0.0117776,0.001738225,0.002040679,0.01195112,0.0009954456,0.002743807,0.00350974,0.002692933,0.5442309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002394983,"about_ca_system_score_gemma":0.005067037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03352206,"about_ca_topic_score_gemma":0.05121802,"domain_scores_codex":[0.9982368,0.0002612325,0.0001487811,0.0006444682,0.0003921111,0.0003166667],"domain_scores_gemma":[0.994983,0.001501888,0.0003583228,0.001286218,0.001181637,0.000689024],"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":[0.00004123287,0.00001087866,0.0001708333,0.000443945,0.00001433839,0.000005529866,0.00002037746,0.00008268352,0.00006467507,0.0002259977,0.9980409,0.0008786846],"study_design_scores_gemma":[0.0004135527,0.00002105978,0.001427837,0.0002953454,0.00004081124,0.00002122894,0.00007356524,0.0002344101,0.0002716061,0.0014575,0.9957026,0.00004056008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002302336,0.0000276348,0.00003602233,0.00003528317,0.00002089801,0.000006671105,0.9987491,0.0004863057,0.0006150142],"genre_scores_gemma":[0.0001427275,0.00004276941,0.000293541,0.00006737999,0.000009035319,0.00006190534,0.9979262,0.0003764108,0.001079944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5491002,"threshold_uncertainty_score":0.7832247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732097153217838,"score_gpt":0.2670973051524486,"score_spread":0.2497763336202702,"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."}}