{"id":"W7011204164","doi":"","title":"Les effets du climat et de la pollution automobile sur la croissance des conifÃ¨res de la vallÃ©e de Chamonix, France","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Air pollution; Thermal pollution; Climate change; Deforestation (computer science); Pollution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004470976,0.0006734629,0.0003167423,0.0007593464,0.001238044,0.0009069597,0.0004881907,0.0008020492,0.004901429],"category_scores_gemma":[0.0006329516,0.0001887962,0.0005411818,0.000553468,0.0005018096,0.0002712834,0.0004566743,0.0005987915,0.0009550137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003807643,"about_ca_system_score_gemma":0.001614129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6950926,"about_ca_topic_score_gemma":0.7925676,"domain_scores_codex":[0.9996511,0.00008150023,0.000009726772,0.00006679552,0.00007115312,0.0001196743],"domain_scores_gemma":[0.9994764,0.0001554614,0.00005251321,0.00001061415,0.0001540962,0.0001510212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006143237,0.0006693454,0.8800064,0.0001736798,0.0005108788,0.001078122,0.00647315,0.002694683,0.01618634,0.001044115,0.005170873,0.07984921],"study_design_scores_gemma":[0.0000257761,0.0003451474,0.992824,0.00001449473,0.00002879086,0.000035564,0.001539128,0.0002661659,0.0006091657,0.00004252858,0.00425279,0.00001647804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951126,0.0007203035,0.00008012234,0.0002739036,0.0000394699,0.00001227285,0.0007582244,0.00001772575,0.002985341],"genre_scores_gemma":[0.9648444,0.0009401672,0.0001919096,0.0001012625,0.00004203595,0.00002639403,0.0009215515,0.000015954,0.03291627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6950926,"threshold_uncertainty_score":0.6134062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001581374393566471,"score_gpt":0.1523218963352251,"score_spread":0.1507405219416586,"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."}}