{"id":"W6955033187","doi":"10.57907/mirri/ctjgwn","title":"MIRRI0071541","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Organism; Identification (biology); Point (geometry)","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":[0.0001451734,0.0002950404,0.0002961816,0.0001626778,0.0005183331,0.0006363303,0.000639214,0.00009515927,0.9986848],"category_scores_gemma":[0.00002206014,0.0002562401,0.0001784955,0.0000379812,0.0000800035,0.0005525638,0.0003563009,0.0004174456,0.337097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004443403,"about_ca_system_score_gemma":0.0001316533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237553,"about_ca_topic_score_gemma":0.0004936013,"domain_scores_codex":[0.9984668,0.00006210018,0.0005078239,0.0002506036,0.000409248,0.0003033914],"domain_scores_gemma":[0.9988723,0.00008771435,0.0003525546,0.0005257782,0.00006937411,0.00009222391],"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":[0.0000183284,0.00005770674,0.000001140726,0.0001068627,0.00005922431,0.00001252954,0.002199184,0.000003684741,7.875996e-8,0.007321915,0.9899328,0.0002865444],"study_design_scores_gemma":[0.0002426069,0.00003686796,9.162449e-7,0.00001872768,0.00004775008,0.000003774698,0.003684525,0.000007502219,0.000004732155,0.0003439713,0.9952778,0.0003308106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000033684,0.0004662592,4.803308e-7,0.001228856,0.002602963,0.0001789146,0.9925126,0.0001107056,0.002865467],"genre_scores_gemma":[0.00000626378,0.0002478384,0.00001374051,0.004142257,0.00168802,0.00004992012,0.9674245,0.00002355673,0.0264039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6615878,"threshold_uncertainty_score":0.999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564382832922507,"score_gpt":0.2125306863317143,"score_spread":0.1868868580024892,"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."}}