{"id":"W4363651296","doi":"10.1145/3582437.3582472","title":"Lessons Learned from Video Game Players Sorting Genomes","year":2023,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Presentation (obstetrics); Focus (optics); Sorting; Game design; Simple (philosophy); Video game; Game Developer; Human–computer interaction; Video game design; Data science; Multimedia; Algorithm","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":[0.002047469,0.001126698,0.0006238727,0.001073451,0.001389816,0.002685006,0.001912134,0.002033825,0.008741239],"category_scores_gemma":[0.01976205,0.0004212834,0.0004338372,0.0006086807,0.0022894,0.003889746,0.001779362,0.002214066,0.001589304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313441,"about_ca_system_score_gemma":0.0009003656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259187,"about_ca_topic_score_gemma":0.01834162,"domain_scores_codex":[0.9978268,0.001111718,0.000101326,0.0003346662,0.0004028569,0.0002226392],"domain_scores_gemma":[0.991839,0.005964803,0.000220897,0.0004087359,0.001134116,0.0004324863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001971478,0.003943784,0.08163021,0.002358027,0.000272801,0.007025777,0.08304548,0.03801472,0.02270147,0.06579028,0.1100714,0.5831745],"study_design_scores_gemma":[0.0004420041,0.00409442,0.08412454,0.001533591,0.0002986257,0.008787935,0.116763,0.1615914,0.04881916,0.2025675,0.3703058,0.000671981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7547327,0.001738202,0.0908398,0.02932543,0.0005883317,0.0007581143,0.002545621,0.001329866,0.118142],"genre_scores_gemma":[0.9229946,0.00109564,0.04502384,0.002262812,0.0000925352,0.0002150189,0.001333242,0.0004546488,0.02652768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01259187,"threshold_uncertainty_score":0.02924234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07160855901813315,"score_gpt":0.2952636997606593,"score_spread":0.2236551407425262,"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."}}