{"id":"W6955352872","doi":"10.57907/mirri/pkci2b","title":"MIRRI0046383","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":"Taxon; Organism; Population; Identification (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008906295,0.0009449959,0.0008628018,0.0006395531,0.0003237861,0.00015714,0.001853876,0.0004716224,0.9989872],"category_scores_gemma":[0.0005994466,0.001010965,0.0005377915,0.00061318,0.0001096362,0.0001245244,0.001200511,0.001892137,0.9835817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008181796,"about_ca_system_score_gemma":0.0006804941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302527,"about_ca_topic_score_gemma":0.0004020773,"domain_scores_codex":[0.9944669,0.0006665043,0.0009099023,0.001354782,0.001519078,0.00108284],"domain_scores_gemma":[0.995926,0.0003230416,0.0007579635,0.002486224,0.0001156986,0.0003911348],"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":[0.00008970305,0.0004907812,0.00002195809,0.0000897897,0.000225773,0.0008416773,0.00003081924,0.00005687704,0.0001417761,0.00001456061,0.9977478,0.0002484742],"study_design_scores_gemma":[0.0009958164,0.0000614165,0.00001967703,0.00004995211,0.0003262706,0.0001244309,0.00009422806,0.000008041922,0.0000896458,0.0001281148,0.9970704,0.001032034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007717372,0.00133409,0.000002485769,0.0003923515,0.002067235,0.0006268155,0.9949735,0.0004851627,0.00004119422],"genre_scores_gemma":[0.000004150332,0.000226996,0.0001906946,0.0007680468,0.001002205,0.0002359649,0.9898186,0.0003079587,0.007445416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0154055,"threshold_uncertainty_score":0.9992341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719495521025174,"score_gpt":0.267835691452003,"score_spread":0.2506407362417513,"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."}}