{"id":"W6936213699","doi":"10.57907/mirri/tlmafu","title":"MIRRI0044219","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":[0.0009305743,0.0009333405,0.0008560726,0.000620205,0.0003263934,0.0001485558,0.001822514,0.0004787904,0.9990878],"category_scores_gemma":[0.0006456059,0.001003219,0.0005339876,0.0006097195,0.0001088217,0.0001272901,0.001183138,0.001930215,0.9851682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007877579,"about_ca_system_score_gemma":0.0006809818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183478,"about_ca_topic_score_gemma":0.0003938136,"domain_scores_codex":[0.9945041,0.0006953297,0.0009092402,0.001349425,0.001471482,0.001070443],"domain_scores_gemma":[0.9959511,0.0003561046,0.0007667344,0.002433661,0.0001149862,0.0003774452],"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":[0.00009876191,0.0004928223,0.00002069031,0.0000920493,0.000230841,0.0006197435,0.00003349669,0.00005722949,0.0001423025,0.00001434934,0.9979696,0.0002281315],"study_design_scores_gemma":[0.001008435,0.00006223172,0.00001415582,0.00005313906,0.0003337003,0.0001270896,0.0001025241,0.000007572693,0.0001190039,0.0001429333,0.9970009,0.001028338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008360925,0.001355759,0.000002586715,0.0004021418,0.002070288,0.0006367872,0.9949368,0.0004775329,0.00003448127],"genre_scores_gemma":[0.000003924365,0.0002303124,0.0001758508,0.0008248988,0.0009797626,0.0002393754,0.9894525,0.0002943317,0.007799053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0139196,"threshold_uncertainty_score":0.9992418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704125431800149,"score_gpt":0.2677333105812137,"score_spread":0.2506920562632122,"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."}}