{"id":"W6973508187","doi":"10.57907/mirri/navcpi","title":"MIRRI0071529","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":[0.0009202019,0.0009447427,0.0008650812,0.0006465165,0.0003213749,0.0001552821,0.001852,0.0004735517,0.9990953],"category_scores_gemma":[0.0006043869,0.001011468,0.0005295938,0.000612285,0.0001092335,0.0001241417,0.001205568,0.001896271,0.9850795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008040536,"about_ca_system_score_gemma":0.0006694224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275455,"about_ca_topic_score_gemma":0.0004070048,"domain_scores_codex":[0.9944448,0.0006610631,0.0009195224,0.001351639,0.001530257,0.001092745],"domain_scores_gemma":[0.9958992,0.0003339126,0.0007706487,0.002484392,0.0001187977,0.0003930511],"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":[0.00009013543,0.0004804456,0.00002212517,0.00008816134,0.0002219462,0.0008569591,0.0000300206,0.00004857624,0.0001459922,0.00001493068,0.9977752,0.0002254905],"study_design_scores_gemma":[0.0009824577,0.00006179528,0.00001813749,0.00004989874,0.0003211752,0.0001231691,0.00009708841,0.000008073669,0.0000930614,0.0001239562,0.9970888,0.00103232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000781949,0.001346576,0.000002499966,0.0003922138,0.002138664,0.0006229478,0.9949076,0.0004693764,0.00004191792],"genre_scores_gemma":[0.000003380554,0.0002360544,0.0001786249,0.0008016461,0.001042333,0.0002351651,0.989037,0.0003077891,0.008158004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01401582,"threshold_uncertainty_score":0.9992335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741386150694398,"score_gpt":0.2690185551546729,"score_spread":0.251604693647729,"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."}}