{"id":"W6954595073","doi":"10.57907/mirri/obtjqa","title":"MIRRI0077507","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001571661,0.004029072,0.002656026,0.008580397,0.001963543,0.00484389,0.003725282,0.004316622,0.2673973],"category_scores_gemma":[0.01165709,0.001314225,0.002395434,0.01298548,0.0008527337,0.002181271,0.003193189,0.002228044,0.3413637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765879,"about_ca_system_score_gemma":0.005640534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03184555,"about_ca_topic_score_gemma":0.05143333,"domain_scores_codex":[0.9982032,0.0002521708,0.0001676291,0.0006533511,0.0004039835,0.0003196956],"domain_scores_gemma":[0.9952295,0.001643279,0.0004071892,0.0009921007,0.001102568,0.000625407],"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":[0.0001016936,0.00002319447,0.0007840522,0.001404934,0.00004783276,0.00002102031,0.00004333938,0.0001892956,0.0001729586,0.0003646747,0.9950152,0.001831809],"study_design_scores_gemma":[0.0004719929,0.00003927631,0.003676146,0.0006110644,0.0001093494,0.00004961777,0.0001183065,0.0002445845,0.0003260656,0.001355159,0.9929449,0.0000535488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004781349,0.0000750515,0.0000282123,0.00003234606,0.00002010033,0.000006922081,0.9989777,0.0003042152,0.000507679],"genre_scores_gemma":[0.0002168926,0.00007928353,0.0002369187,0.00006624805,0.000008616935,0.00005708118,0.9984945,0.0001488175,0.0006917585],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7326027,"threshold_uncertainty_score":0.8945332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008205944256850834,"score_gpt":0.2064055390036576,"score_spread":0.1981995947468067,"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."}}