{"id":"W2328724181","doi":"10.1021/cb200239t","title":"YouTube or You Lose: Grand Challenges Canada Explores Whether Scientists Are Ready for Web-Based Grant Competitions","year":2011,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates; University of Alberta","funders":"","keywords":"World Wide Web; Library science; Grand Challenges; Political science; Data science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005910259,0.0003342716,0.0002713206,0.001874382,0.01292756,0.0138415,0.001238731,0.002716369,0.04492819],"category_scores_gemma":[0.01811142,0.0002170538,0.0003257928,0.003405152,0.002730664,0.005549638,0.003870816,0.003099784,0.008113545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01835796,"about_ca_system_score_gemma":0.0317508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5621153,"about_ca_topic_score_gemma":0.8082151,"domain_scores_codex":[0.9948187,0.001169601,0.00007691717,0.0002919209,0.002146145,0.001496595],"domain_scores_gemma":[0.9825251,0.003646482,0.000464171,0.0003676787,0.005307854,0.007688729],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005225146,0.00004082993,0.004827697,0.00007964716,0.00000757446,0.0001500781,0.003119594,0.00008460649,0.0001845876,0.01913835,0.9452736,0.02704126],"study_design_scores_gemma":[0.00003161905,0.00003384206,0.008356502,0.0001743866,0.000008733085,0.00004016396,0.01879736,0.0004705781,0.0001706116,0.004643088,0.9672184,0.00005469986],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05787887,0.004712489,0.001819381,0.3498303,0.006795974,0.0003631098,0.00956065,0.0008161425,0.5682232],"genre_scores_gemma":[0.4710663,0.008223169,0.005080645,0.08282874,0.003212742,0.0007433396,0.01301685,0.00106422,0.4147639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9940897,"threshold_uncertainty_score":0.880927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3084750671185851,"score_gpt":0.3973155028184018,"score_spread":0.08884043569981676,"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."}}