{"id":"W7072071455","doi":"","title":"Utilisation de bio intrants en vue d'améliorer la végétalisation des rejets miniers ferrifères en milieu nordique","year":2022,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plant production; Production system (computer science); Compost","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":[0.0003401646,0.0005411225,0.0005104819,0.0003324882,0.0003427052,0.0008422205,0.0003482619,0.0004101676,0.001502669],"category_scores_gemma":[0.0002397159,0.0001394152,0.0003076492,0.0002503853,0.0002614175,0.0002381838,0.0002490033,0.0003465711,0.0002531322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008190185,"about_ca_system_score_gemma":0.0009187729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01606171,"about_ca_topic_score_gemma":0.0401212,"domain_scores_codex":[0.9998304,0.00002023369,0.00001153502,0.00005638663,0.00004262595,0.00003873435],"domain_scores_gemma":[0.9997885,0.0000425006,0.00004323351,0.00001634065,0.00006209164,0.00004735722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000347018,0.00008677645,0.001112215,0.0001144449,0.00001501689,0.00004736952,0.00008410028,0.0001929026,0.9919043,0.00003878016,0.0000196156,0.00603744],"study_design_scores_gemma":[0.00003860315,0.004807354,0.04111987,0.00007427063,0.0001245131,0.0001374682,0.0004852696,0.0005702103,0.9446421,0.00006407672,0.007913351,0.00002283114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973058,0.0007161731,0.0008424615,0.00003318563,0.0000127073,0.00003031576,0.0001139898,0.00002913645,0.000916279],"genre_scores_gemma":[0.9784293,0.001324151,0.0062525,0.00006528947,0.000008304894,0.00008200787,0.0005624144,0.00002012908,0.01325584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01606171,"threshold_uncertainty_score":0.03193641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008887667272815734,"score_gpt":0.2027217643076027,"score_spread":0.193834097034787,"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."}}