{"id":"W2409682415","doi":"10.1101/009902","title":"Crowdsourcing RNA structural alignments with an online computer game","year":2014,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Crowdsourcing; Computer science; Computer game; Data science; Computational biology; World Wide Web; Multimedia; Biology","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":[0.00309325,0.001211203,0.000808166,0.000880032,0.001047223,0.001478393,0.00277634,0.001241514,0.005146955],"category_scores_gemma":[0.009151311,0.0003380263,0.0005844663,0.0006004846,0.001150037,0.001615966,0.004346125,0.00120341,0.001521312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120771,"about_ca_system_score_gemma":0.001454149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004918252,"about_ca_topic_score_gemma":0.007143523,"domain_scores_codex":[0.9971642,0.001198072,0.0001247419,0.0005813276,0.0006857968,0.0002459337],"domain_scores_gemma":[0.9945852,0.002964344,0.0003016994,0.0008588225,0.0005686657,0.000721259],"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":[0.005757391,0.008817271,0.01706805,0.0007257403,0.0004915895,0.00136734,0.003765687,0.321483,0.06068292,0.03938108,0.03087861,0.5095814],"study_design_scores_gemma":[0.0002955451,0.0005438027,0.00171156,0.00002435228,0.00004010405,0.0001020122,0.0003540743,0.9424441,0.01474133,0.0195325,0.0201449,0.00006580209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4043393,0.0002177895,0.5451369,0.001235987,0.0003535502,0.002177438,0.001226359,0.01561618,0.02969646],"genre_scores_gemma":[0.7290543,0.00006593262,0.2556975,0.0003306716,0.00005431254,0.001122771,0.001033545,0.0003848694,0.01225601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005146955,"threshold_uncertainty_score":0.01721829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02067214434405287,"score_gpt":0.2713639854438261,"score_spread":0.2506918410997732,"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."}}