{"id":"W2209952886","doi":"10.5210/fm.v20i12.6143","title":"MOOCs and crowdsourcing: Massive courses and massive resources","year":2015,"lang":"en","type":"article","venue":"First Monday","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Crowdsourcing; Openness to experience; Salient; Data science; Mediation; Knowledge management; Scale (ratio); Service (business); Computer science; Work (physics); Business; World Wide Web; Psychology; Sociology; Marketing; Engineering; Artificial intelligence; Social psychology; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0002782829,0.0001797803,0.000195826,0.0001535174,0.0002845692,0.0004593261,0.0006252865,0.00008891914,0.00001037116],"category_scores_gemma":[0.0004523779,0.0001659645,0.00002298501,0.0004648866,0.0001938474,0.0005647335,0.0008016174,0.0001701444,0.00004202988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004429384,"about_ca_system_score_gemma":0.00006523429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009710543,"about_ca_topic_score_gemma":0.000007009215,"domain_scores_codex":[0.9986926,0.0000483652,0.0002157292,0.000443699,0.000312811,0.0002868055],"domain_scores_gemma":[0.9985735,0.0002062785,0.0001356019,0.0006335995,0.0002240393,0.0002269641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006645462,0.0002828844,0.1860894,0.0001387823,0.000225533,0.0004125934,0.4970727,0.002286611,0.000352166,0.03545482,0.2379737,0.03964433],"study_design_scores_gemma":[0.001184528,0.000253273,0.04248223,0.00009705585,0.00002500073,0.00007484716,0.001484157,0.01503645,0.0006109478,0.007373449,0.9307668,0.0006113083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339473,0.0006933344,0.04440463,0.0181545,0.0003434533,0.0002715923,0.0000176208,0.0003331534,0.001834452],"genre_scores_gemma":[0.9731515,0.00001184288,0.0251382,0.0003887233,0.00009237963,0.00002188656,0.000003003962,0.00001759219,0.001174875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.692793,"threshold_uncertainty_score":0.6767837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369100108915979,"score_gpt":0.2468984378269936,"score_spread":0.2232074367378338,"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."}}