{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007763454,0.0004529995,0.0004430273,0.0002131517,0.0005589769,0.0007742878,0.0007816734,0.0004718928,0.000132723],"category_scores_gemma":[0.0001099527,0.0004536457,0.00007506065,0.0005575984,0.0002964898,0.0004101268,0.0001895828,0.0005684859,0.00003618014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005248688,"about_ca_system_score_gemma":0.001469497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005830439,"about_ca_topic_score_gemma":0.0002135058,"domain_scores_codex":[0.9967129,0.0005022278,0.0004526916,0.0009086035,0.0008279943,0.0005955998],"domain_scores_gemma":[0.9971015,0.00005829192,0.0005226926,0.0009841783,0.0008788496,0.0004544466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001224446,0.006870621,0.4191133,0.003491619,0.004061776,0.0003101741,0.0297143,0.04551345,0.2851228,0.179363,0.02386258,0.001351953],"study_design_scores_gemma":[0.003314247,0.0007933739,0.7928324,0.001771535,0.0005923599,4.844796e-8,0.0009202195,0.02119724,0.02312966,0.0001123075,0.149259,0.006077582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990835,0.00009874848,0.004268313,0.0008256786,0.002700515,0.0006704192,0.00009036795,0.0004577323,0.00005322456],"genre_scores_gemma":[0.9775325,0.00003915419,0.01786311,0.0007265726,0.003658205,0.00006560563,0.000002332784,0.0000892123,0.00002331732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3737191,"threshold_uncertainty_score":0.9997915,"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."}}