{"id":"W6973660735","doi":"10.57907/mirri/smkevl","title":"MIRRI0050723","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":[0.0009075045,0.0009406426,0.0008580665,0.0006534769,0.0003218944,0.000156206,0.001849825,0.0004693313,0.9990398],"category_scores_gemma":[0.00060292,0.001007001,0.0005259854,0.0006174685,0.0001080152,0.0001244258,0.001205405,0.001873902,0.9857211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008022209,"about_ca_system_score_gemma":0.0006538436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318446,"about_ca_topic_score_gemma":0.0004650227,"domain_scores_codex":[0.9944668,0.0006620669,0.0009122936,0.001347539,0.001519799,0.001091533],"domain_scores_gemma":[0.9959209,0.0003329279,0.0007627247,0.002477393,0.0001141853,0.0003918643],"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":[0.00008888714,0.0004758044,0.00002044961,0.00008614604,0.0002261106,0.0008428908,0.00002961105,0.0000513658,0.0001474729,0.00001421532,0.9977884,0.0002286405],"study_design_scores_gemma":[0.0009803332,0.0000596879,0.00001826727,0.00005021341,0.000321504,0.0001180394,0.00009526362,0.000008078749,0.00009127862,0.0001244831,0.9971046,0.001028288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007446865,0.001322297,0.000002252715,0.0004143985,0.002090879,0.0006212002,0.9949518,0.0004838457,0.00003887428],"genre_scores_gemma":[0.000003277527,0.0002438443,0.0001761674,0.0007688966,0.001048028,0.0002432621,0.9886266,0.0003111851,0.008578759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01331874,"threshold_uncertainty_score":0.999238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766869101711281,"score_gpt":0.2690720080284109,"score_spread":0.2514033170112981,"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."}}