{"id":"W6898803999","doi":"10.57907/mirri/b3uyuz","title":"MIRRI0046057","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":[0.0008851208,0.0009451049,0.0008600468,0.0006352825,0.0003235682,0.0001572239,0.001854853,0.0004704104,0.9990727],"category_scores_gemma":[0.000578679,0.001011624,0.0005376048,0.000602985,0.00010925,0.0001246806,0.001198303,0.001887721,0.9846089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000818854,"about_ca_system_score_gemma":0.0006821842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321613,"about_ca_topic_score_gemma":0.000437121,"domain_scores_codex":[0.994471,0.0006608026,0.0009112629,0.001352525,0.001519764,0.001084635],"domain_scores_gemma":[0.9959255,0.0003167866,0.000762328,0.002487973,0.0001167352,0.0003907137],"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":[0.00008796428,0.0004826391,0.00002170003,0.00008883463,0.000225662,0.0008608688,0.00003044574,0.00005359829,0.0001432613,0.00001415922,0.9977515,0.0002394111],"study_design_scores_gemma":[0.0009910216,0.00006593142,0.00001729398,0.00005139579,0.0003262509,0.0001195515,0.0000896452,0.000007765073,0.00009151037,0.0001310281,0.9970758,0.001032804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007606865,0.001443881,0.000002364178,0.000397907,0.002083387,0.0006249744,0.994847,0.0004875,0.00003694295],"genre_scores_gemma":[0.000003482879,0.0002328501,0.0001781304,0.0007743236,0.001014156,0.0002420777,0.9890264,0.0003079103,0.008220675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01446374,"threshold_uncertainty_score":0.9992334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718230788061879,"score_gpt":0.2678958363395831,"score_spread":0.2507135284589643,"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."}}