{"id":"W4403286946","doi":"10.30564/jees.v6i3.6962","title":"A Framework for Monitoring the Effectiveness of Ecosystem-Based Adaptation Strategies Using Internet of Things and Machine Learning Techniques","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental & Earth Sciences","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Adaptation (eye); Internet of Things; Computer science; Ecosystem; The Internet; Data science; Artificial intelligence; World Wide Web; Ecology; Psychology; Biology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361779,0.00007678009,0.0001492549,0.0001301753,0.00008717464,0.00009651451,0.0004539356,0.00005216749,0.00000116503],"category_scores_gemma":[0.00009923465,0.00004952023,0.00005651243,0.0001717181,0.0002601791,0.0007972821,0.0001164458,0.0002239276,5.967988e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002229656,"about_ca_system_score_gemma":0.00004395426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001083607,"about_ca_topic_score_gemma":7.486137e-7,"domain_scores_codex":[0.9991657,0.00008814289,0.0002572067,0.0001338428,0.0002560097,0.00009915161],"domain_scores_gemma":[0.9986606,0.0009394861,0.0002834827,0.00008849646,0.00001310375,0.00001483657],"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":[0.0001609469,0.0001409939,0.03109583,0.001010921,0.0001366023,0.00002564543,0.005429367,0.1061566,0.548325,0.1204433,5.552997e-7,0.1870742],"study_design_scores_gemma":[0.0001239575,0.001532816,0.002871197,0.001721837,0.00002207025,0.00006691219,0.001703862,0.3821409,0.5669305,0.0426975,0.00007393634,0.0001145301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3848893,0.001084895,0.6137673,0.00002581855,0.0001262025,0.00008188566,7.945323e-7,0.00001476723,0.000009051548],"genre_scores_gemma":[0.6832478,0.00004900225,0.316685,0.000001997395,0.00001121241,0.000001720326,3.501958e-8,0.000002503543,7.993708e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2983584,"threshold_uncertainty_score":0.2019376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246297100007866,"score_gpt":0.2882659874282083,"score_spread":0.2636362774274217,"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."}}