{"id":"W6936243130","doi":"10.57907/mirri/xqgfrl","title":"MIRRI0068675","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":[0.0009193194,0.0009434746,0.0008597698,0.0006360442,0.0003238057,0.0001574217,0.001841338,0.0004873983,0.9991726],"category_scores_gemma":[0.0005840088,0.001009885,0.0005242052,0.0006080886,0.0001088826,0.0001238708,0.001196072,0.001880716,0.9862036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007818329,"about_ca_system_score_gemma":0.0006652687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362484,"about_ca_topic_score_gemma":0.0004266259,"domain_scores_codex":[0.9944149,0.0006661474,0.0009136617,0.001348415,0.001574758,0.001082115],"domain_scores_gemma":[0.9959311,0.0003269697,0.0007665716,0.002473736,0.0001176893,0.0003838937],"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":[0.00008853807,0.0004820768,0.00002208758,0.00008775554,0.000219397,0.0008511827,0.00002913023,0.00005249871,0.0001530371,0.00001362499,0.9977698,0.0002308899],"study_design_scores_gemma":[0.0009743143,0.00006441499,0.00001871432,0.00004931101,0.0003225879,0.0001252667,0.00009022561,0.00000799059,0.00009595548,0.0001249942,0.9970953,0.001030868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007484054,0.001338087,0.000002471158,0.0003864882,0.002147744,0.0006239394,0.9949163,0.0004736196,0.00003652677],"genre_scores_gemma":[0.000003466947,0.0002269572,0.0001773869,0.0007491213,0.001027145,0.0002419739,0.989111,0.0003073754,0.008155578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01296908,"threshold_uncertainty_score":0.9992352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703205331997254,"score_gpt":0.2673641990975457,"score_spread":0.2503321457775731,"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."}}