{"id":"W7128283760","doi":"","title":"Monitoring of porous asphalt and its underground reservoir as a stormwater management structure for a parking lot.","year":2025,"lang":"fr","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère des Transports","keywords":"Asphalt; Public work; Crushed stone","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":[0.000157814,0.0001976445,0.000190164,0.0004814152,0.0003622358,0.000320109,0.0003044504,0.0004004788,0.0005124327],"category_scores_gemma":[0.0001445558,0.0001264806,0.0001686301,0.0003844645,0.0001479928,0.000314082,0.0001927546,0.0002200465,0.0001435154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005045735,"about_ca_system_score_gemma":0.0005004857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03435888,"about_ca_topic_score_gemma":0.1171396,"domain_scores_codex":[0.9999143,0.000007465546,0.000002524554,0.00002483345,0.00003320694,0.00001759203],"domain_scores_gemma":[0.9998701,0.00001365953,0.00001843927,0.000007341772,0.00006144401,0.00002901535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007889022,0.0004005619,0.472105,0.0003218897,0.0001059682,0.0006798573,0.0009080871,0.009987568,0.4538365,0.0003247401,0.001324562,0.05921637],"study_design_scores_gemma":[0.0000227674,0.0006588364,0.8968738,0.00002766355,0.00007842945,0.0002129832,0.0009819837,0.04475927,0.05301797,0.0001424302,0.003191351,0.00003248546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975904,0.0001184013,0.001003935,0.00002059492,0.000004709728,0.00001646169,0.0004187545,0.00004763039,0.0007791166],"genre_scores_gemma":[0.9975337,0.00005901877,0.001373241,0.000008071352,0.000001425611,0.000009303652,0.0002143574,0.00000473513,0.0007961522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9656411,"threshold_uncertainty_score":0.06831777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0524301001653023,"score_gpt":0.3387112123839817,"score_spread":0.2862811122186794,"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."}}