{"id":"W2909091414","doi":"10.29007/kwml","title":"Superhuman Sports Games in Laval Virtual","year":2018,"lang":"en","type":"article","venue":"EPiC series in engineering","topic":"Persona Design and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Function (biology); Computer science; Human–computer interaction; Jumper; Simulation; Engineering; Physical medicine and rehabilitation; Psychology; Medicine; Physics","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":[0.0005849517,0.001037989,0.0003379382,0.0007786175,0.001491402,0.002145092,0.001741055,0.0009481595,0.02664509],"category_scores_gemma":[0.0009270289,0.0002785494,0.0008218783,0.0002757388,0.0006369869,0.002144567,0.004614077,0.0009512251,0.00437798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005948781,"about_ca_system_score_gemma":0.0006570024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002756498,"about_ca_topic_score_gemma":0.01038867,"domain_scores_codex":[0.9994106,0.0001728425,0.00001521629,0.00008049665,0.0001184047,0.0002023491],"domain_scores_gemma":[0.9993675,0.0000661829,0.0000236058,0.00006691281,0.00007792981,0.0003978448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003906671,0.005181976,0.01450722,0.001392973,0.0002729069,0.003036712,0.009292516,0.01476274,0.06464438,0.07528874,0.2783621,0.5293511],"study_design_scores_gemma":[0.0002672861,0.001304709,0.009952862,0.0002578263,0.00008621755,0.001044579,0.002147496,0.02500629,0.01018492,0.01239429,0.9371681,0.0001855085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2867635,0.001722376,0.3040377,0.004759815,0.002605928,0.003101456,0.003594402,0.01937512,0.3740396],"genre_scores_gemma":[0.6096359,0.0007549181,0.2733851,0.001678362,0.0004407222,0.002549049,0.005607812,0.001600343,0.1043478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02664509,"threshold_uncertainty_score":0.08913672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00740457361612075,"score_gpt":0.2109026891255145,"score_spread":0.2034981155093938,"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."}}