{"id":"W6898942178","doi":"10.57907/mirri/9apzqp","title":"MIRRI0042613","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":[0.0008584867,0.000944981,0.000860924,0.0006343148,0.0003219539,0.0001590729,0.001849434,0.0004696846,0.9990759],"category_scores_gemma":[0.0005947435,0.001010874,0.0005352302,0.0006097901,0.0001090033,0.0001260902,0.001196569,0.001883015,0.9851363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000823452,"about_ca_system_score_gemma":0.0006843316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352014,"about_ca_topic_score_gemma":0.0004119113,"domain_scores_codex":[0.9944772,0.000659398,0.000912072,0.001349833,0.001517884,0.001083686],"domain_scores_gemma":[0.9959251,0.0003260311,0.0007607353,0.002478638,0.0001186212,0.0003908995],"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":[0.0000869568,0.0004733986,0.00001930067,0.00009112233,0.0002211691,0.0008535929,0.00003131464,0.00005607943,0.0001527576,0.00001451939,0.9977728,0.0002270001],"study_design_scores_gemma":[0.0009711744,0.00006158936,0.00001684377,0.00005258979,0.0003220352,0.0001236669,0.00009612604,0.000008231272,0.00009392185,0.0001330392,0.997089,0.001031769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007879102,0.001468447,0.000002461865,0.0004107997,0.002087128,0.0006342914,0.9947956,0.0004869773,0.00003548706],"genre_scores_gemma":[0.000003540097,0.0002536966,0.0001835695,0.0007807078,0.001005433,0.0002495351,0.9891738,0.0003076228,0.008042098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01393958,"threshold_uncertainty_score":0.9992341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705468927084246,"score_gpt":0.2671397752636376,"score_spread":0.2500850859927951,"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."}}