{"id":"W6955326659","doi":"10.57907/mirri/k7a6fi","title":"MIRRI0043070","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Natural (archaeology)","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":[],"category_scores_codex":[0.001315261,0.002882535,0.002583996,0.004701285,0.001710965,0.004316323,0.004240584,0.003509255,0.1969153],"category_scores_gemma":[0.006014903,0.001113485,0.001380432,0.008156005,0.000698701,0.002049333,0.003112261,0.002020873,0.2749504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705623,"about_ca_system_score_gemma":0.003396012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011239,"about_ca_topic_score_gemma":0.03838767,"domain_scores_codex":[0.9987659,0.0001974417,0.0001132953,0.0004728473,0.0002490549,0.0002013668],"domain_scores_gemma":[0.9979435,0.0005762748,0.0001990846,0.0005161056,0.0004460902,0.0003189726],"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":[0.0001302127,0.00002305856,0.0007649175,0.001269285,0.00005143817,0.00003058809,0.00003938163,0.0001908013,0.0003459868,0.0006304762,0.9947171,0.001806776],"study_design_scores_gemma":[0.0003585371,0.00002685878,0.00309067,0.0002639568,0.00005023498,0.00006112416,0.00006611909,0.0001764304,0.0004041305,0.0009484134,0.9945229,0.00003055076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006093561,0.00006122646,0.00003859116,0.00002976978,0.00001249782,0.000005530519,0.998833,0.0003413977,0.0006170081],"genre_scores_gemma":[0.0002004379,0.00004559814,0.0001691492,0.0000392223,0.000004749329,0.00003031035,0.998843,0.0001076502,0.0005598751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8030847,"threshold_uncertainty_score":0.6587471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005887271282406825,"score_gpt":0.2243060123473818,"score_spread":0.2184187410649749,"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."}}