{"id":"W6917664779","doi":"10.57907/mirri/3tu57j","title":"MIRRI0056288","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":[0.0008857799,0.0009425804,0.0008595111,0.0006277306,0.000315694,0.0001543365,0.001851525,0.0004725514,0.9990497],"category_scores_gemma":[0.000629664,0.001009391,0.0005257003,0.0005940574,0.0001088633,0.0001249246,0.001178909,0.001891195,0.9842811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008137965,"about_ca_system_score_gemma":0.0006696811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061758,"about_ca_topic_score_gemma":0.0003704745,"domain_scores_codex":[0.9945073,0.0006649671,0.0009096648,0.001347477,0.001485598,0.001085007],"domain_scores_gemma":[0.9959075,0.0003337275,0.0007624467,0.002479016,0.0001187946,0.0003985527],"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":[0.00008817649,0.0004641888,0.00001989236,0.00008595585,0.0002241496,0.0008527508,0.00002867534,0.00005152126,0.0001576755,0.00001496752,0.9977745,0.0002375171],"study_design_scores_gemma":[0.0009839524,0.00005970609,0.00001632165,0.00005098218,0.0003241166,0.0001202868,0.00009320219,0.000008099645,0.00009980979,0.0001207738,0.9970923,0.001030461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007738028,0.001418205,0.000002443982,0.000423848,0.00208824,0.000620799,0.9948579,0.0004732156,0.00003795751],"genre_scores_gemma":[0.000003427924,0.0002434203,0.000178144,0.0008339437,0.001049749,0.0002415297,0.9891599,0.0003069733,0.007982843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01476861,"threshold_uncertainty_score":0.9992356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722134253673552,"score_gpt":0.2681937948676261,"score_spread":0.2509724523308905,"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."}}