{"id":"W1539914959","doi":"","title":"Applications of Mobile Computing for Fish Species at Risk Management","year":2004,"lang":"en","type":"article","venue":"Arrow - TU Dublin (Technological University Dublin)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Enterprise Ireland","keywords":"Context (archaeology); Computer science; World Wide Web; Enforcement; Data science; Task (project management); Field (mathematics); Fish <Actinopterygii>; Fishery; Geography; Ecology; Engineering","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":[0.0003819673,0.0004413736,0.0002757015,0.000659713,0.000420384,0.001343391,0.0007260235,0.000736411,0.006083032],"category_scores_gemma":[0.00128284,0.0001707244,0.0003386663,0.0008888321,0.0002581954,0.001126594,0.0009320044,0.0004665216,0.001207707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003889012,"about_ca_system_score_gemma":0.0002885041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002437406,"about_ca_topic_score_gemma":0.003055216,"domain_scores_codex":[0.9997194,0.00008043165,0.00001583924,0.00005014225,0.0001044856,0.00002963258],"domain_scores_gemma":[0.9993988,0.0003331313,0.00003187632,0.00007349213,0.000118727,0.00004387504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004030407,0.0001229004,0.009390337,0.0009574038,0.0001058863,0.0008988017,0.001340357,0.01952347,0.02281641,0.03821885,0.0306525,0.8755701],"study_design_scores_gemma":[0.0001580808,0.0007538261,0.01316234,0.0008873877,0.0002908511,0.002279625,0.002225377,0.2005817,0.02468425,0.08524213,0.6695529,0.0001816473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1017473,0.02261037,0.738176,0.01000528,0.001597302,0.000962107,0.001565067,0.006403517,0.1169331],"genre_scores_gemma":[0.6305612,0.01454445,0.3367619,0.001269906,0.0009659709,0.000422535,0.0009276028,0.0002356355,0.01431073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006083032,"threshold_uncertainty_score":0.0203498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00798572949308103,"score_gpt":0.1887598374772302,"score_spread":0.1807741079841491,"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."}}