{"id":"W6983017728","doi":"","title":"L'EcoChip : une plateforme de capteurs autonomes pour la surveillance bio-environnementale multimodale de l'habitat nordique","year":2021,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecological trap; Rail transportation; Urban environment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198511,0.001812321,0.001117779,0.002482168,0.001105676,0.002115271,0.001120202,0.001290817,0.005488986],"category_scores_gemma":[0.0009886666,0.0009865396,0.001280035,0.002253988,0.0005503123,0.000705421,0.0007903779,0.0009022554,0.002912332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472131,"about_ca_system_score_gemma":0.002218902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0452679,"about_ca_topic_score_gemma":0.088135,"domain_scores_codex":[0.9988804,0.0001065176,0.00005320892,0.0004021416,0.0004429122,0.0001147371],"domain_scores_gemma":[0.9988868,0.0002457044,0.0001729709,0.0001262635,0.0004816319,0.00008662072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009462059,0.0002689975,0.05280191,0.001144966,0.0002643179,0.0003963555,0.001095848,0.0146169,0.8056293,0.001733864,0.007935514,0.1131659],"study_design_scores_gemma":[0.0001495746,0.001272903,0.2326081,0.0005392189,0.0005623567,0.0006970126,0.001503158,0.0308299,0.4785453,0.001258318,0.2517183,0.0003158347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5085711,0.00655279,0.3522696,0.000703107,0.0005548159,0.002522589,0.07535932,0.009793147,0.04367349],"genre_scores_gemma":[0.3067429,0.004753398,0.5704002,0.0007274756,0.00006799298,0.004914199,0.05948761,0.001518672,0.05138754],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0452679,"threshold_uncertainty_score":0.09000885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004773021183594579,"score_gpt":0.1665637273704583,"score_spread":0.1617907061868637,"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."}}