{"id":"W6931088341","doi":"10.5281/zenodo.3924697","title":"PeraltaLab/ConstructedStormwaterWetland: Latest release - posted","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Perspective (graphical); Stormwater; Code (set theory); Ecosystem; Key (lock)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001817948,0.002267236,0.001409044,0.0028677,0.001286022,0.004814313,0.003261352,0.001439695,0.4992257],"category_scores_gemma":[0.004469912,0.00173893,0.001451181,0.003435744,0.0006337829,0.004801039,0.00410773,0.002137247,0.5611615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180136,"about_ca_system_score_gemma":0.002100016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01457815,"about_ca_topic_score_gemma":0.01548617,"domain_scores_codex":[0.9988801,0.00006989164,0.00004954835,0.0001659098,0.0006551208,0.0001793627],"domain_scores_gemma":[0.9981255,0.0002563062,0.0001347652,0.0006113477,0.000593556,0.0002785535],"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":[0.0001661161,0.00004870623,0.0004620251,0.0003609869,0.00003109696,0.00004133222,0.00005455011,0.0003153142,0.001342662,0.001211139,0.9770588,0.01890716],"study_design_scores_gemma":[0.00008304156,0.00002366158,0.001505059,0.0001224008,0.00001891947,0.00006227496,0.00005045355,0.0008508095,0.003855668,0.002328723,0.9910409,0.00005825239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001186178,0.0003610029,0.0146924,0.0006615708,0.0007669735,0.0001769394,0.7777489,0.1449433,0.05946269],"genre_scores_gemma":[0.004508379,0.0006001812,0.01096136,0.0003154581,0.00009311719,0.0003924895,0.8370553,0.08936583,0.05670793],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4992257,"threshold_uncertainty_score":0.7142937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009400353520020822,"score_gpt":0.1820605204448806,"score_spread":0.1726601669248597,"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."}}