{"id":"W6898822442","doi":"10.57907/mirri/3ze82i","title":"MIRRI0044630","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":[0.0008933739,0.0009449075,0.0008611827,0.000635485,0.0003234339,0.000156639,0.001851715,0.0004703414,0.9990649],"category_scores_gemma":[0.0006000987,0.00101179,0.0005363913,0.0006068891,0.0001091881,0.0001247322,0.001198017,0.001887929,0.9848061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008197868,"about_ca_system_score_gemma":0.0006914453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001269759,"about_ca_topic_score_gemma":0.0004091766,"domain_scores_codex":[0.9944664,0.0006598221,0.0009200918,0.001350982,0.001519124,0.00108353],"domain_scores_gemma":[0.995904,0.0003230061,0.0007622645,0.002503174,0.0001173826,0.0003902049],"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":[0.00008870558,0.0004820124,0.00002321948,0.00008917991,0.0002249412,0.0008635462,0.00003058422,0.00003776802,0.0002009292,0.00001434925,0.9977345,0.0002101919],"study_design_scores_gemma":[0.000991135,0.00006077331,0.00001940745,0.00005082136,0.0003252189,0.0001234093,0.00009304391,0.000007094067,0.000121476,0.0001319625,0.997043,0.00103266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007941126,0.001358748,0.000003201716,0.0004005575,0.002086987,0.0006259282,0.9949209,0.0004880388,0.00003622608],"genre_scores_gemma":[0.00000307834,0.0002318472,0.0002161016,0.0007798057,0.001014171,0.0002422552,0.9894457,0.0003080619,0.007758958],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01425889,"threshold_uncertainty_score":0.9992332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743939159321031,"score_gpt":0.2683776691280268,"score_spread":0.2509382775348165,"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."}}