{"id":"W4393018767","doi":"10.7202/1105919ar","title":"Miner à tout prix","year":2022,"lang":"fr","type":"article","venue":"Revue d’études autochtones","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Data science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000787669,0.0004195906,0.000484882,0.0001216728,0.001456299,0.000125517,0.0008315285,0.0001726381,0.0292974],"category_scores_gemma":[0.0000855237,0.0005030746,0.0003254802,0.0007191711,0.0007138342,0.0004818001,0.0007286353,0.0005447955,0.00118461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126611,"about_ca_system_score_gemma":0.0002040631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00212173,"about_ca_topic_score_gemma":0.0004565699,"domain_scores_codex":[0.9960285,0.0007077273,0.0005607837,0.0007140082,0.0009111378,0.001077884],"domain_scores_gemma":[0.9984635,0.0002017195,0.0003425182,0.0005949172,0.0000147658,0.0003825456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002338947,0.00656426,0.01635666,0.0007487856,0.001006162,0.0007989606,0.09381068,0.01251434,0.01637678,0.7590896,0.0577956,0.03470431],"study_design_scores_gemma":[0.0004687382,0.0003915304,0.001974588,0.00008047908,0.0001587588,0.00005875647,0.009142408,0.0006827696,0.0002166759,0.0003890399,0.9858121,0.0006241496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7597781,0.01314827,0.00009481275,0.0488269,0.007092586,0.001850562,0.0003781859,0.0002631072,0.1685675],"genre_scores_gemma":[0.7146164,0.0007746316,0.00034331,0.0008126346,0.0006855869,0.0001677516,0.00004524121,0.00007327569,0.2824812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9280165,"threshold_uncertainty_score":0.9998437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05082650439600728,"score_gpt":0.3861447515929413,"score_spread":0.335318247196934,"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."}}