{"id":"W6973801552","doi":"10.57907/mirri/spxudm","title":"MIRRI0059623","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":[0.0008778691,0.0009404619,0.0008576429,0.0006387224,0.0003218832,0.0001561534,0.001848402,0.0004692501,0.9990506],"category_scores_gemma":[0.000601784,0.001007241,0.0005257534,0.0006054297,0.0001078974,0.0001243818,0.001206702,0.001873059,0.9858894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008191626,"about_ca_system_score_gemma":0.0006858408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294902,"about_ca_topic_score_gemma":0.0004826364,"domain_scores_codex":[0.9944696,0.0006613737,0.000911908,0.001347232,0.001518521,0.00109133],"domain_scores_gemma":[0.9959243,0.000332386,0.000762869,0.002474607,0.0001142232,0.0003916345],"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":[0.00009305551,0.0004753683,0.00002205932,0.00008603856,0.000225952,0.0008420333,0.00003008566,0.00005197183,0.0001498987,0.00001392078,0.9977837,0.0002259254],"study_design_scores_gemma":[0.0009799048,0.00005999749,0.00002000496,0.0000503944,0.0003213152,0.0001184551,0.00009582608,0.000008000316,0.00009313536,0.0001236739,0.9971011,0.001028153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007676719,0.001315498,0.000002386121,0.0004123624,0.002089632,0.0006219718,0.9949605,0.000483677,0.00003719489],"genre_scores_gemma":[0.00000342753,0.0002393821,0.0001762137,0.0007684095,0.001047647,0.0002436894,0.9888548,0.0003109763,0.008355482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01316117,"threshold_uncertainty_score":0.9992378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763897372885841,"score_gpt":0.2691822397937783,"score_spread":0.2515432660649199,"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."}}