{"id":"W7052136866","doi":"","title":"Reconstruction des technologies de production métallique employées par les artisans européens et amérindiens du XVIe au XVIIIe siècle au Canada","year":2018,"lang":"fr","type":"other","venue":"","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic discrimination; Wage growth; Social life; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0003370085,0.0005535466,0.0004034469,0.0001266064,0.001360578,0.00006620459,0.0003148931,0.0005765151,0.00136527],"category_scores_gemma":[0.0004332384,0.0004782671,0.0001134876,0.0003595178,0.004856301,0.0002010001,0.0002172949,0.0004345041,0.0004892361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002941991,"about_ca_system_score_gemma":0.0007638883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8913923,"about_ca_topic_score_gemma":0.9981738,"domain_scores_codex":[0.997157,0.0002337901,0.0004185747,0.0009291445,0.0003421279,0.0009193745],"domain_scores_gemma":[0.9988677,0.00007740926,0.0003005731,0.0005571722,0.00004671611,0.0001504195],"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":[0.00001508431,0.00008011533,0.3717153,0.000101143,0.0001062985,0.00006183513,0.001095527,0.0004112762,0.01056116,0.0003936697,0.01198062,0.603478],"study_design_scores_gemma":[0.000176832,0.0001867361,0.7605144,0.0006225997,0.0001269299,0.001248105,0.005601351,0.0001078105,0.05510274,0.0009482724,0.1744249,0.0009392505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5817818,0.000100715,0.0008406718,0.003288259,0.001957317,0.0003693342,0.000006748538,0.0003374066,0.4113177],"genre_scores_gemma":[0.9287853,0.0008106969,0.01107515,0.0001262386,0.0009579007,0.000005332229,0.00001169923,0.0001756579,0.05805207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6025387,"threshold_uncertainty_score":0.9999395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052974826608289,"score_gpt":0.2079469491069234,"score_spread":0.1974172008408406,"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."}}