{"id":"W6917385321","doi":"10.57907/mirri/fqjxv5","title":"MIRRI0055867","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Genetic Mapping and Diversity in Plants and Animals","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":[0.001322232,0.002768766,0.002440388,0.005228519,0.001553908,0.004726363,0.003562502,0.003106934,0.2509817],"category_scores_gemma":[0.008264509,0.001078559,0.001233332,0.01013592,0.000639853,0.00224126,0.003128219,0.001787937,0.3236567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854785,"about_ca_system_score_gemma":0.003747111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296063,"about_ca_topic_score_gemma":0.04158883,"domain_scores_codex":[0.9986083,0.0002362386,0.0001473083,0.000549828,0.0002634801,0.0001950217],"domain_scores_gemma":[0.9972202,0.0008926261,0.0002551802,0.0006576357,0.000634056,0.0003402685],"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":[0.0001035285,0.00001746178,0.0007127457,0.001264617,0.00004573994,0.00002663411,0.00004217451,0.0001677134,0.0001767187,0.0007325988,0.9947057,0.002004299],"study_design_scores_gemma":[0.0002420177,0.00001656014,0.002203765,0.0002826435,0.00004056134,0.00004868089,0.0000622203,0.0001275031,0.000231356,0.0009474014,0.9957733,0.00002412894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004405788,0.00005643603,0.0000392378,0.00003068929,0.00000999971,0.000004605658,0.9988031,0.0003211734,0.0006905458],"genre_scores_gemma":[0.0001949958,0.00005847346,0.0001975611,0.00004709452,0.000004840905,0.00003236682,0.9985898,0.0001440834,0.0007307011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7490183,"threshold_uncertainty_score":0.8396173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086266518115747,"score_gpt":0.2296447011391773,"score_spread":0.2187820359580199,"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."}}