{"id":"W7011204164","doi":"","title":"Les effets du climat et de la pollution automobile sur la croissance des conifères de la vallée 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000846538,0.0003762742,0.0004065903,0.00003653984,0.0002080266,0.0000869091,0.0002621296,0.0001322785,0.0001861915],"category_scores_gemma":[0.00001610896,0.0003946701,0.00004853422,0.00006897867,0.0004826672,0.0002225878,0.00008311204,0.0002719667,1.813993e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005961464,"about_ca_system_score_gemma":0.001273263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128302,"about_ca_topic_score_gemma":0.01542885,"domain_scores_codex":[0.9980053,0.0003102383,0.0002572377,0.0002716329,0.0005724903,0.0005830571],"domain_scores_gemma":[0.9986577,0.0008259864,0.00009737069,0.0001684098,5.976664e-7,0.0002499388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000417141,0.0002274148,0.1203333,0.008523014,0.0008681561,0.001234597,0.004393639,0.2654777,0.3491527,0.1834269,0.02046071,0.04548472],"study_design_scores_gemma":[0.0007453008,0.00008153365,0.4394313,0.002016328,0.00007453407,0.0001236235,0.0004739531,0.009904317,0.06868746,0.001248914,0.4763406,0.0008721226],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2604622,0.008018989,0.001191057,0.0009940839,0.0003138812,0.0001904904,0.0005279197,0.0000948692,0.7282065],"genre_scores_gemma":[0.9389855,0.009001131,0.004729776,0.0002123646,0.000142921,0.00003004328,0.000004678823,0.000111811,0.04678174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6814248,"threshold_uncertainty_score":0.9998505,"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."}}