{"id":"W2949757477","doi":"10.4000/cybergeo.32391","title":"Un atlas-web pour comparer l’exposition individuelle aux pollutions atmosphérique et sonore selon le mode de transport","year":2019,"lang":"fr","type":"article","venue":"Cybergeo","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007291365,0.0003512806,0.0004533888,0.00004703727,0.0008244909,0.00007912505,0.0005063253,0.0004827074,0.002963203],"category_scores_gemma":[0.00001300993,0.0003906331,0.0003619487,0.0006938634,0.0004316354,0.0009138231,0.00003104412,0.0005515839,0.0005872056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239946,"about_ca_system_score_gemma":0.001846046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02890884,"about_ca_topic_score_gemma":0.03695259,"domain_scores_codex":[0.997181,0.0003294852,0.0005410317,0.0006331053,0.0004328095,0.0008825575],"domain_scores_gemma":[0.9987844,0.00009085936,0.0001947372,0.0004181905,0.0001525112,0.0003593269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005309633,0.001043924,0.9203387,0.0001093067,0.0001389501,0.000024122,0.01856424,0.002347788,0.001424897,0.04904016,0.00524119,0.001673571],"study_design_scores_gemma":[0.001677163,0.0001031306,0.8439655,0.0002594936,0.0002434113,0.000005279557,0.004046913,0.004699863,0.001637911,0.01467006,0.1277404,0.0009508936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478962,0.002157622,0.001655391,0.01907649,0.0009774158,0.0005655572,0.0004969958,0.0001493502,0.02702496],"genre_scores_gemma":[0.9685379,0.0003172243,0.001170469,0.0006376702,0.0003151559,0.00003154189,0.0003636219,0.00004220183,0.02858424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1224992,"threshold_uncertainty_score":0.9998546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519673276602647,"score_gpt":0.2837152851375125,"score_spread":0.268518552371486,"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."}}