{"id":"W6936398602","doi":"10.57907/mirri/zmwonw","title":"MIRRI0085311","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":[0.000870317,0.0009442092,0.0008656755,0.0006370347,0.0003260174,0.0001505525,0.001854076,0.0004697385,0.9990655],"category_scores_gemma":[0.0005964556,0.001011013,0.0005293087,0.0006109176,0.0001105067,0.0001240055,0.001203934,0.001881894,0.9845303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007778202,"about_ca_system_score_gemma":0.0006736047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403927,"about_ca_topic_score_gemma":0.0004226717,"domain_scores_codex":[0.9944732,0.0006675388,0.0009130087,0.001350323,0.001514159,0.001081777],"domain_scores_gemma":[0.9959167,0.0003234748,0.0007672792,0.002484299,0.0001180987,0.0003901698],"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":[0.00009127679,0.0004862863,0.0000224256,0.00008643941,0.0002194767,0.0008872654,0.0000319611,0.0000459449,0.0001474792,0.00001447724,0.9977462,0.0002207262],"study_design_scores_gemma":[0.0009748015,0.00006311545,0.00001855653,0.00004847315,0.0003190125,0.0001288633,0.00009342234,0.000007684203,0.00009930117,0.0001279243,0.9970871,0.00103172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008030568,0.001361022,0.000002340562,0.0003817875,0.002081524,0.000619599,0.9949596,0.0004755277,0.00003832126],"genre_scores_gemma":[0.000003570553,0.0002498697,0.0001787428,0.0007611744,0.001002269,0.0002411586,0.989562,0.0003079181,0.007693323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01453519,"threshold_uncertainty_score":0.999234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787210968272615,"score_gpt":0.2670962160531644,"score_spread":0.2492241063704383,"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."}}