{"id":"W6992300542","doi":"","title":"La séquestration naturelle de carbone en milieu urbain : un outil de lutte contre les changements climatiques à promouvoir!","year":2016,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban environment; Environmental factor; Secondary education; Carbon stock","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":[0.001776202,0.0007412996,0.0009133992,0.0007326842,0.002836604,0.0043963,0.001058063,0.001890007,0.01097282],"category_scores_gemma":[0.001629992,0.000283482,0.0005279117,0.001274101,0.002606487,0.002728534,0.001090054,0.001755407,0.001366927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01435087,"about_ca_system_score_gemma":0.01491622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5483382,"about_ca_topic_score_gemma":0.7340398,"domain_scores_codex":[0.9989964,0.0002102563,0.00001882063,0.0001541559,0.0004343636,0.0001859942],"domain_scores_gemma":[0.9985606,0.000151442,0.0001296393,0.00009037499,0.0008831868,0.0001847714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001200681,0.0003282723,0.05728076,0.004571435,0.0003392912,0.000808653,0.003634901,0.00945537,0.1841352,0.0845764,0.05036008,0.603309],"study_design_scores_gemma":[0.00005267281,0.000913187,0.1088575,0.002678161,0.0003043328,0.0004488403,0.008153209,0.006907674,0.05770569,0.02140308,0.7921793,0.0003963858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.370852,0.328293,0.04032436,0.1177085,0.003469131,0.0003395829,0.002283544,0.0009876129,0.1357424],"genre_scores_gemma":[0.7716483,0.09194817,0.0231892,0.006118239,0.0004738635,0.0001373293,0.0008229882,0.0002737913,0.105388],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5483382,"threshold_uncertainty_score":0.9086435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008792296086638233,"score_gpt":0.2176627762052347,"score_spread":0.2088704801185964,"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."}}