{"id":"W6898759088","doi":"10.57907/mirri/4o2vt2","title":"MIRRI0048607","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000928631,0.0009428597,0.0008588096,0.0006460326,0.0003217224,0.0001550749,0.001844771,0.0004728308,0.9989905],"category_scores_gemma":[0.0006148426,0.001010042,0.0005362316,0.0006159671,0.0001073415,0.0001240276,0.001173854,0.001893516,0.9845996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008400501,"about_ca_system_score_gemma":0.000700297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328817,"about_ca_topic_score_gemma":0.000441773,"domain_scores_codex":[0.9944406,0.0006535858,0.0009132345,0.00134818,0.00155533,0.001089116],"domain_scores_gemma":[0.995928,0.0003216216,0.0007617043,0.002474825,0.0001214518,0.0003923481],"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":[0.00009176853,0.0004853524,0.00002083271,0.00008878203,0.0002246369,0.000860349,0.00002971868,0.00005077328,0.000165071,0.00001032989,0.9977375,0.0002348676],"study_design_scores_gemma":[0.0009953184,0.0000620361,0.0000173649,0.00005139827,0.0003238957,0.0001223473,0.0000910301,0.000007238531,0.0001333203,0.0001298624,0.9970355,0.001030668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007861184,0.001438943,0.000002376298,0.0004032463,0.002069516,0.0006234614,0.9948587,0.0004869314,0.0000382387],"genre_scores_gemma":[0.000004597248,0.0002240299,0.0001772801,0.0007556556,0.001014126,0.0002357262,0.9898105,0.0003077565,0.007470326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0143909,"threshold_uncertainty_score":0.999235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739718920800076,"score_gpt":0.2688563107934547,"score_spread":0.251459121585454,"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."}}