{"id":"W6936663871","doi":"10.57907/mirri/rtwe6r","title":"MIRRI0064450","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":[0.0008948702,0.0009438509,0.000860611,0.0006363483,0.0003232789,0.0001579647,0.001847287,0.0004736072,0.999095],"category_scores_gemma":[0.0005891832,0.001010166,0.0005277761,0.0006059964,0.0001070746,0.0001244098,0.001200942,0.001887859,0.9854479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007922021,"about_ca_system_score_gemma":0.0006682907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408592,"about_ca_topic_score_gemma":0.0004464106,"domain_scores_codex":[0.994453,0.0006681489,0.0009139631,0.001351143,0.001530918,0.001082895],"domain_scores_gemma":[0.9959257,0.0003268032,0.0007677646,0.002476175,0.0001187077,0.0003848252],"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":[0.00008969367,0.0004821942,0.00002000539,0.00008692539,0.0002181075,0.0008595143,0.0000293012,0.00005294608,0.0001732785,0.00001394215,0.9977502,0.0002238855],"study_design_scores_gemma":[0.0009783168,0.00006094413,0.00001831523,0.0000488969,0.0003222875,0.0001260994,0.00009106774,0.000007972406,0.00009678302,0.0001281313,0.9970899,0.001031292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007773813,0.001335273,0.000002578156,0.0003953467,0.002012372,0.0006227745,0.9950425,0.0004737976,0.00003762284],"genre_scores_gemma":[0.00000349209,0.0002297775,0.0001777412,0.0007660529,0.001026301,0.0002419904,0.9891338,0.0003073698,0.008113412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01364709,"threshold_uncertainty_score":0.9992349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702017008440848,"score_gpt":0.2673129975741449,"score_spread":0.2502928274897364,"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."}}