{"id":"W6936317254","doi":"10.57907/mirri/gyovy0","title":"MIRRI0066717","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); Natural (archaeology)","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":[0.0008659866,0.000942031,0.0008645796,0.0006304295,0.0003352987,0.0001626276,0.001883614,0.0004694644,0.9990636],"category_scores_gemma":[0.0006014273,0.001008884,0.0005287682,0.000580232,0.0001096476,0.0001252184,0.001207802,0.001872836,0.9852659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007858948,"about_ca_system_score_gemma":0.0006692404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424706,"about_ca_topic_score_gemma":0.0004346186,"domain_scores_codex":[0.9944955,0.0006581703,0.0009056582,0.001348466,0.001512411,0.00107981],"domain_scores_gemma":[0.9958624,0.0003200766,0.0007838388,0.002532707,0.0001174398,0.0003835232],"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":[0.00008932179,0.000476743,0.00002179885,0.00008786759,0.0002183904,0.0009004337,0.0000290907,0.00004705441,0.0001545856,0.00001358905,0.9977507,0.0002104343],"study_design_scores_gemma":[0.0009787666,0.0000604885,0.0000186521,0.00005004587,0.0003224252,0.000128111,0.00008973567,0.000007865925,0.00009650033,0.0001318915,0.997086,0.001029462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000711746,0.001334543,0.000002441562,0.0004628254,0.002088965,0.0006226194,0.9949124,0.0004668725,0.00003809973],"genre_scores_gemma":[0.000003631784,0.00023658,0.0001741103,0.0007294104,0.001028147,0.0002412868,0.989102,0.000304379,0.008180467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01379764,"threshold_uncertainty_score":0.9992362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735179883768361,"score_gpt":0.2687690822327126,"score_spread":0.2514172833950289,"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."}}