{"id":"W6929978722","doi":"10.5281/zenodo.10854688","title":"L'Observatoire des cultures écrites anciennes Biblissima+","year":2024,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Belgica; Web site; Indigenous","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002787803,0.0004502119,0.0006434206,0.006574045,0.002782483,0.007296427,0.0003706657,0.0007333048,0.02989055],"category_scores_gemma":[0.008948102,0.0003453714,0.0003880907,0.01769579,0.00161466,0.003468111,0.002362779,0.001718714,0.0058264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008599984,"about_ca_system_score_gemma":0.009321045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2025704,"about_ca_topic_score_gemma":0.29618,"domain_scores_codex":[0.9962714,0.000914716,0.0001995822,0.0004800049,0.001692168,0.0004422205],"domain_scores_gemma":[0.9937001,0.001617814,0.0009055782,0.0005685876,0.002769254,0.0004386128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003451208,0.00009853287,0.04783306,0.00229619,0.0001533869,0.0008937515,0.05302628,0.0008175637,0.0072616,0.07831313,0.2378228,0.5711387],"study_design_scores_gemma":[0.00000768371,0.00001827554,0.09260623,0.0004157347,0.00001292564,0.0002012986,0.006669351,0.0001214269,0.0009831361,0.0009062016,0.8980236,0.00003413646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2343979,0.06158827,0.006156267,0.03530111,0.003878804,0.0001879568,0.03117816,0.0009331172,0.6263785],"genre_scores_gemma":[0.6051115,0.03669312,0.005733734,0.002153687,0.001557792,0.0003166634,0.009972177,0.0007405651,0.3377208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.993426,"threshold_uncertainty_score":0.4027827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4275764254088562,"score_gpt":0.4750731551708134,"score_spread":0.04749672976195729,"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."}}