{"id":"W4407269205","doi":"","title":"A decision-support tool for nature-based solutions selection and pre-sizing using hybrid models","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; European Commission; Horizon 2020 Framework Programme; Canadian Institute for Advanced Research","keywords":"Sizing; Selection (genetic algorithm); Computer science; Decision support system; Artificial intelligence; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001633359,0.001452302,0.0009798557,0.001883616,0.0005056298,0.002096826,0.001800892,0.001358149,0.02187651],"category_scores_gemma":[0.004247083,0.000758951,0.001375226,0.0009865828,0.0003047321,0.001383382,0.001226513,0.0009748953,0.002603392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006667411,"about_ca_system_score_gemma":0.0009989324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00269213,"about_ca_topic_score_gemma":0.004107194,"domain_scores_codex":[0.9995455,0.0001110824,0.0000525426,0.00008092836,0.0001718701,0.0000380722],"domain_scores_gemma":[0.9971713,0.002172754,0.0001598711,0.0001616566,0.000256688,0.00007775113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006361961,0.0004218813,0.002928984,0.0008283329,0.0002469537,0.0006076075,0.0002824818,0.684989,0.01539873,0.0173657,0.01778326,0.2585108],"study_design_scores_gemma":[0.0000653882,0.00003483478,0.0001536911,0.00003534844,0.00003511432,0.00004650122,0.00001995358,0.9840678,0.003336344,0.006073333,0.006114109,0.00001757813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01445499,0.0001092871,0.9517274,0.0002154169,0.00005175714,0.0001752694,0.001621784,0.02629877,0.00534535],"genre_scores_gemma":[0.194504,0.0002258107,0.7954844,0.0001889378,0.00003472844,0.000657981,0.002441793,0.001701317,0.004761063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02187651,"threshold_uncertainty_score":0.07318425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04080239328600398,"score_gpt":0.2867185275193464,"score_spread":0.2459161342333424,"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."}}