{"id":"W6974180129","doi":"10.57907/mirri/jboaci","title":"MIRRI0065736","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":[0.0008868765,0.0009439322,0.0008613053,0.0006357615,0.0003225945,0.0001573638,0.001843389,0.0004697491,0.9991227],"category_scores_gemma":[0.0005727777,0.001010362,0.0005282407,0.0006085963,0.0001087475,0.0001214675,0.001195765,0.001873455,0.9855918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007779814,"about_ca_system_score_gemma":0.000665397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001406528,"about_ca_topic_score_gemma":0.0004389922,"domain_scores_codex":[0.9944677,0.0006670565,0.0009143304,0.001349883,0.001518221,0.00108281],"domain_scores_gemma":[0.9959298,0.0003277253,0.0007683545,0.002473433,0.0001158818,0.0003848153],"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":[0.00009160178,0.000482546,0.00002109878,0.00008695341,0.0002182745,0.0008556207,0.00002901307,0.00004915609,0.0001537702,0.00001380785,0.9977664,0.0002317329],"study_design_scores_gemma":[0.0009788295,0.0000612604,0.00001756471,0.00004939243,0.0003222263,0.0001233966,0.00009068041,0.000007924942,0.00009630272,0.0001248858,0.9970961,0.00103148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007478641,0.001360097,0.000002351772,0.0003947267,0.002110721,0.0006234677,0.9949257,0.000467757,0.00004037024],"genre_scores_gemma":[0.000003550981,0.0002335052,0.000171429,0.0007714961,0.001047206,0.0002419798,0.9892057,0.0003063957,0.008018739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01353093,"threshold_uncertainty_score":0.9992347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700725185136798,"score_gpt":0.2671285399188145,"score_spread":0.2501212880674465,"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."}}