{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003831521,0.000577862,0.000717081,0.001382463,0.01291983,0.01145939,0.001931373,0.004991166,0.08165717],"category_scores_gemma":[0.01531416,0.0003947575,0.0005861187,0.001651732,0.008455488,0.008724653,0.007115134,0.006964359,0.02513047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01001715,"about_ca_system_score_gemma":0.01957225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08272442,"about_ca_topic_score_gemma":0.1724155,"domain_scores_codex":[0.9955409,0.0009792229,0.0001322247,0.0007916109,0.001779387,0.0007767337],"domain_scores_gemma":[0.9916842,0.001391944,0.0003857135,0.0009403964,0.004186263,0.001411548],"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":[0.0001134961,0.00006569427,0.004995815,0.0003895666,0.00003922533,0.0007487307,0.0239951,0.0001510803,0.001134858,0.3075557,0.55458,0.1062306],"study_design_scores_gemma":[0.000004192926,0.000009808539,0.0006150131,0.0001891541,0.000005396655,0.0001159321,0.004843749,0.00003809122,0.000160239,0.008108357,0.9858983,0.00001184302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01794101,0.01707373,0.005614658,0.3927037,0.01959954,0.0001779196,0.0008137426,0.0005072399,0.5455685],"genre_scores_gemma":[0.09643728,0.009875412,0.003499439,0.0822811,0.003125244,0.0001331575,0.000500311,0.0005380065,0.80361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08272442,"threshold_uncertainty_score":0.2731705,"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."}}