{"id":"W7011076018","doi":"","title":"L'Atlas Miller : Ressource du site L'Âge d'or des cartes marines","year":2012,"lang":"fr","type":"other","venue":"Gallica (Bibliothèque nationale de France)","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Miller; Southeast asia; First world war; Ministry of Foreign Affairs","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":[],"consensus_categories":[],"category_scores_codex":[0.0005651353,0.000743884,0.0003825843,0.006430146,0.002049733,0.003840936,0.0008436232,0.0006568181,0.1657431],"category_scores_gemma":[0.002076232,0.0004635038,0.0003713334,0.01037075,0.0007668816,0.003188918,0.002177454,0.001247974,0.04637185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003439843,"about_ca_system_score_gemma":0.005747647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1658982,"about_ca_topic_score_gemma":0.2825736,"domain_scores_codex":[0.9994758,0.00004605423,0.00002339731,0.00008486427,0.0003094012,0.00006053402],"domain_scores_gemma":[0.9987233,0.0001692987,0.0001304431,0.000205644,0.000634374,0.0001368257],"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":[0.00007117503,0.00001092577,0.00491446,0.0006318222,0.00001255219,0.0002291496,0.003177421,0.0003115135,0.001391928,0.01992564,0.8156104,0.153713],"study_design_scores_gemma":[0.000001067291,0.000001994733,0.004676596,0.00006763692,0.00000173403,0.0000406011,0.0002466569,0.00002088051,0.00009995727,0.0002615288,0.9945769,0.000004422278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01021879,0.01062907,0.005198621,0.003594673,0.002269163,0.0001954693,0.1190486,0.00318682,0.8456588],"genre_scores_gemma":[0.05546445,0.01310376,0.01727531,0.0009751512,0.0006659518,0.0003789373,0.08156639,0.003191031,0.8273789],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1658982,"threshold_uncertainty_score":0.5544658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240598828256632,"score_gpt":0.2159864085956534,"score_spread":0.2035804203130871,"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."}}