{"id":"W6973837903","doi":"10.57907/mirri/ngj2ha","title":"MIRRI0064054","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":[0.0008838432,0.000941991,0.0008588689,0.0006387389,0.0003222254,0.0001627365,0.00187812,0.0004677531,0.9991363],"category_scores_gemma":[0.000579465,0.00100855,0.0005275388,0.0006114433,0.0001085828,0.0001272983,0.001229217,0.001863921,0.9851054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007942066,"about_ca_system_score_gemma":0.0006666947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140084,"about_ca_topic_score_gemma":0.0004347108,"domain_scores_codex":[0.9944782,0.0006668711,0.0009126134,0.001347558,0.001514733,0.001080086],"domain_scores_gemma":[0.9959351,0.0003255064,0.0007670408,0.002472192,0.0001158495,0.0003842736],"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":[0.00008926407,0.0004762382,0.00002265752,0.00008739348,0.0002178455,0.0008536468,0.00002863414,0.00005053218,0.0001411221,0.00001385109,0.9977962,0.0002226214],"study_design_scores_gemma":[0.0009734029,0.00006068518,0.00001885478,0.00004915523,0.0003215229,0.0001229197,0.00008605289,0.000007724575,0.00009228806,0.0001269737,0.997111,0.001029484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007386255,0.001326475,0.000002446683,0.0003926795,0.00208411,0.0006243107,0.9949865,0.0004732565,0.0000363611],"genre_scores_gemma":[0.000003338393,0.0002252489,0.0001771148,0.0007777129,0.001019893,0.0002399169,0.9893133,0.0003066766,0.007936812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01403091,"threshold_uncertainty_score":0.9992365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170193258234565,"score_gpt":0.2674187999556708,"score_spread":0.2503994741322143,"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."}}