{"id":"W6898719619","doi":"10.57907/mirri/3nbkuw","title":"MIRRI0060190","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); Population","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":[0.001727821,0.003122048,0.002985747,0.006683031,0.002266752,0.005615878,0.004760452,0.004445372,0.3148284],"category_scores_gemma":[0.0108311,0.001587682,0.001536413,0.01235516,0.0008498827,0.003194488,0.00386039,0.002944456,0.4256418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002510236,"about_ca_system_score_gemma":0.005276689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03301516,"about_ca_topic_score_gemma":0.05636064,"domain_scores_codex":[0.9980974,0.0002863249,0.0001985574,0.0006689836,0.0004117318,0.000337112],"domain_scores_gemma":[0.9955342,0.001310472,0.0003922847,0.001111926,0.001157058,0.0004940672],"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":[0.00005937129,0.00001256311,0.0003072099,0.0008300908,0.00002114985,0.00001215143,0.00003245141,0.00008933697,0.0001487588,0.0004619098,0.9968998,0.00112529],"study_design_scores_gemma":[0.0001898903,0.00001511001,0.00159359,0.000292093,0.00002867541,0.00002612218,0.00005962105,0.00009354936,0.0002178089,0.0007413364,0.9967173,0.00002487839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002030205,0.00002984555,0.00002664605,0.0000278341,0.00001313342,0.000004033462,0.9991171,0.0002220145,0.0005391093],"genre_scores_gemma":[0.0001009789,0.00003735308,0.0001594042,0.00003999745,0.00000515396,0.0000325365,0.9988714,0.0001249698,0.0006281917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6851716,"threshold_uncertainty_score":0.9773141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676008545630466,"score_gpt":0.2668272661249018,"score_spread":0.2500671806685971,"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."}}