{"id":"W2996355854","doi":"10.7202/1066473ar","title":"L'étude des données \"grises\" issues de la détection illégale de métaux : sauvegarde du patrimoine ou cercle vicieux du pillage?","year":2019,"lang":"fr","type":"article","venue":"Canadian Journal of Bioethics","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004913835,0.0002375077,0.0003381212,0.0003650515,0.0007501508,0.0002404201,0.0004793716,0.0006239954,0.004622804],"category_scores_gemma":[0.00281978,0.0002082757,0.0002087861,0.0004463881,0.002111781,0.000408746,0.00002747929,0.001818139,0.0002446481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002644442,"about_ca_system_score_gemma":0.003487051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3458529,"about_ca_topic_score_gemma":0.5782795,"domain_scores_codex":[0.9964036,0.001405479,0.0004486036,0.0002413523,0.0004655083,0.001035432],"domain_scores_gemma":[0.9963485,0.001007861,0.0002474025,0.0001785287,0.0004309815,0.001786722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002853683,0.00002592533,0.8337017,0.0002946446,0.0001065515,0.0009215887,0.005598986,0.005704389,0.0005412477,0.0007958782,0.003364615,0.1486591],"study_design_scores_gemma":[0.0008788238,0.003376863,0.5944359,0.0005294952,0.00007779573,0.002481075,0.002819392,0.002421238,0.002195251,0.0355591,0.3547444,0.0004806092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237688,0.03786233,0.003035341,0.02992547,0.001319642,0.0002510169,0.0001253969,0.00001769533,0.003694274],"genre_scores_gemma":[0.9646604,0.0282829,0.003792355,0.0006821648,0.001305578,9.358859e-7,0.000009587588,0.00001368479,0.001252411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3513798,"threshold_uncertainty_score":0.9962871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05475161288368312,"score_gpt":0.2928772747367372,"score_spread":0.2381256618530541,"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."}}