{"id":"W4394817394","doi":"10.3389/frwa.2024.1363116","title":"Innovative solutions for global water quality challenges: insights from a collaborative hackathon event","year":2024,"lang":"en","type":"article","venue":"Frontiers in Water","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Event (particle physics); Water quality; Computer science; Quality (philosophy); Environmental science; Environmental planning; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.01508035,0.000875678,0.0005607468,0.001794104,0.01932825,0.01367789,0.002252697,0.006302737,0.006029306],"category_scores_gemma":[0.01805076,0.0003792481,0.0008841341,0.001512068,0.01593273,0.01258039,0.02199942,0.00794526,0.0007031565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004084901,"about_ca_system_score_gemma":0.00488943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003779241,"about_ca_topic_score_gemma":0.007343043,"domain_scores_codex":[0.9847666,0.0107583,0.0002210435,0.0009019814,0.001129451,0.002222619],"domain_scores_gemma":[0.9825377,0.01048362,0.001032993,0.001427402,0.0009403331,0.003578099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002173035,0.001018217,0.01188809,0.0005137685,0.00008271559,0.005103192,0.7273096,0.001600968,0.001311981,0.1556753,0.03374721,0.06153168],"study_design_scores_gemma":[0.00006416026,0.0002800412,0.005247602,0.0004902197,0.00003931389,0.0007382326,0.6305265,0.001670216,0.0008443135,0.07018264,0.2898101,0.0001066377],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6165455,0.002767797,0.02726374,0.09610528,0.001692687,0.0007158541,0.0002500094,0.0002430378,0.2544162],"genre_scores_gemma":[0.9701492,0.001510732,0.006827237,0.006480654,0.0002739401,0.0003235693,0.0001531417,0.0001470316,0.01413465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01932825,"threshold_uncertainty_score":0.07975346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197264704931588,"score_gpt":0.2604469156041044,"score_spread":0.2407204451109456,"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."}}