{"id":"W6973612995","doi":"10.57907/mirri/bx5dvb","title":"MIRRI0046058","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":[0.0008719256,0.0009414047,0.0008592408,0.0006349853,0.0003220756,0.0001570023,0.001853035,0.0004700295,0.9990664],"category_scores_gemma":[0.0005744831,0.001011097,0.0005368544,0.0006023661,0.0001090728,0.0001245239,0.001197576,0.001885211,0.9847506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008185429,"about_ca_system_score_gemma":0.0006832895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382141,"about_ca_topic_score_gemma":0.0004459143,"domain_scores_codex":[0.9944824,0.0006557193,0.0009098339,0.001350774,0.001517945,0.00108332],"domain_scores_gemma":[0.9959305,0.0003158696,0.0007617368,0.002484861,0.00011672,0.0003902921],"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":[0.00009335541,0.0004816046,0.00002123994,0.00008620635,0.000225515,0.0008560655,0.00003062171,0.00005326406,0.0001426785,0.00001410411,0.9977553,0.0002400137],"study_design_scores_gemma":[0.001013197,0.00006394416,0.00001765967,0.00005122948,0.0003241444,0.0001211813,0.000092186,0.000007678712,0.00009237305,0.0001285265,0.9970556,0.001032226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007890597,0.001440705,0.000002337894,0.0003905678,0.002073029,0.0006234979,0.9948615,0.000492013,0.00003739398],"genre_scores_gemma":[0.000003483286,0.0002416852,0.0001798443,0.000766533,0.001008449,0.0002366565,0.9891645,0.0003077943,0.008091006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01431577,"threshold_uncertainty_score":0.999234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718230788061879,"score_gpt":0.2678958363395831,"score_spread":0.2507135284589643,"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."}}