{"id":"W7104378556","doi":"10.18164/2264d3b1-761e-4521-9ebb-0b8124d1dab4","title":"2023-2024 ACES Mobile Survey Data","year":2025,"lang":"","type":"dataset","venue":"ECCC Data Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Quebec; Environment and Climate Change Canada","funders":"","keywords":"Aerial survey; Survey instrument; Survey data collection; Mobile device; Spectrum analyzer; Data collection; Mobile apps; Survey research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007482386,0.001264649,0.0008775573,0.003121671,0.0005948183,0.001224587,0.001615879,0.001274083,0.03239586],"category_scores_gemma":[0.004377669,0.0003347474,0.0008189096,0.006992198,0.0002736747,0.0007597976,0.0009238455,0.0009268625,0.04643649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002186075,"about_ca_system_score_gemma":0.003710472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2219983,"about_ca_topic_score_gemma":0.2850571,"domain_scores_codex":[0.9991997,0.0000819249,0.00007451788,0.0001772838,0.0003150245,0.0001514939],"domain_scores_gemma":[0.997915,0.0002304454,0.0001647232,0.0003119684,0.001212345,0.0001655612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004976316,0.00001709902,0.001898657,0.0003034663,0.00002846495,0.00002704361,0.00001750699,0.000619591,0.0001662211,0.0003713537,0.9929496,0.003551249],"study_design_scores_gemma":[0.00008452936,0.00001245179,0.0133033,0.0001556593,0.00002097905,0.00003625774,0.0001009101,0.0009299712,0.0003692116,0.0005771892,0.9843817,0.00002775204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001858843,0.00002887065,0.000039508,0.0000304213,0.0000122323,0.00000640198,0.9991709,0.0001013282,0.0004244437],"genre_scores_gemma":[0.0004281416,0.00002484191,0.0001458569,0.00001930452,0.000003854577,0.00002587607,0.9988288,0.00002031677,0.0005028975],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2219983,"threshold_uncertainty_score":0.4414123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123406292788702,"score_gpt":0.3698384855529178,"score_spread":0.2574978562740475,"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."}}