{"id":"W2054748947","doi":"10.4000/adlfi.7153","title":"Ambérieu-en-Bugey","year":2007,"lang":"fr","type":"article","venue":"ADLFI Archéologie de la France - Informations","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"AMT Die Casting (Canada)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003736104,0.000345475,0.0003833718,0.0008099361,0.001590107,0.001617502,0.0005058407,0.0005914127,0.01913908],"category_scores_gemma":[0.0005562331,0.0002246619,0.0001923122,0.0006090002,0.0005825137,0.000647797,0.001083704,0.0006613604,0.003662354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002129848,"about_ca_system_score_gemma":0.002320279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1407923,"about_ca_topic_score_gemma":0.1964085,"domain_scores_codex":[0.9996353,0.00001874994,0.000007873447,0.0001209891,0.0001103465,0.0001066764],"domain_scores_gemma":[0.9996025,0.00003403961,0.00005357746,0.00004396072,0.0001676933,0.00009829475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002713553,0.0003321038,0.3471093,0.0007554673,0.0001516879,0.005140395,0.008731748,0.001724483,0.07542417,0.01044852,0.07494642,0.4725221],"study_design_scores_gemma":[0.00004154166,0.0002569014,0.4241545,0.00006251081,0.00003066618,0.0006504955,0.001366455,0.0003493356,0.008141634,0.0002069248,0.5647146,0.00002441817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8004713,0.00279147,0.003454136,0.001620821,0.0004454964,0.0004011435,0.01119399,0.001472345,0.1781493],"genre_scores_gemma":[0.7344879,0.0009160574,0.00649211,0.0002784345,0.0001059757,0.0002190445,0.008668133,0.0003022039,0.2485301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1407923,"threshold_uncertainty_score":0.2799455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085090909445027,"score_gpt":0.2861526165647543,"score_spread":0.2553017074703041,"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."}}