{"id":"W7037728251","doi":"","title":"Forêt urbaine, végétation et développement de l’asthme infantile","year":2021,"lang":"fr","type":"other","venue":"Open MIND","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ile de france; Urban environment; Developmental stage; Blindness","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00159837,0.000367454,0.0005224566,0.0007412205,0.0006226731,0.001130449,0.0005329816,0.0006104324,0.003840993],"category_scores_gemma":[0.003368029,0.0002123169,0.0006283114,0.001050849,0.000506675,0.0006248477,0.0005610612,0.0005775547,0.0004315488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008828297,"about_ca_system_score_gemma":0.001111385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0382099,"about_ca_topic_score_gemma":0.04605856,"domain_scores_codex":[0.9992377,0.0002463065,0.00004241813,0.0002320442,0.0001431971,0.00009845435],"domain_scores_gemma":[0.9986564,0.0004507497,0.0004299821,0.000113373,0.0002346452,0.0001148692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005006106,0.0001199218,0.9549013,0.0008516153,0.0004377265,0.0004234668,0.001630562,0.0002916543,0.005056613,0.0007513028,0.0009635692,0.03407172],"study_design_scores_gemma":[0.000007326576,0.0002366127,0.9921698,0.0001911272,0.0001519229,0.0005537742,0.0006476265,0.0001824776,0.0006163592,0.000231391,0.004997735,0.00001376156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710761,0.01862434,0.002581117,0.0006477835,0.000106499,0.0001239368,0.003078124,0.00003937599,0.003722753],"genre_scores_gemma":[0.987155,0.005488992,0.002198768,0.0002420485,0.00006261252,0.0002149222,0.001325695,0.00001786619,0.003294163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0382099,"threshold_uncertainty_score":0.075975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05128212542557677,"score_gpt":0.3458887032747504,"score_spread":0.2946065778491737,"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."}}