{"id":"W2122683301","doi":"10.1145/2212776.2212779","title":"Massively distributed authorship of academic papers","year":2012,"lang":"en","type":"article","venue":"","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Scholarship; Massively parallel; Crowdsourcing; Process (computing); Data science; Key (lock); Negotiation; Experiential learning; Work (physics); Scale (ratio); World Wide Web; Mathematics education; Sociology; Psychology; Engineering; Computer security","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0132735,0.0003534841,0.0005180071,0.002705891,0.003479608,0.007352506,0.001776528,0.001348654,0.004063351],"category_scores_gemma":[0.0579566,0.0003489133,0.000633464,0.002617171,0.002485814,0.006502085,0.007945346,0.001289702,0.001501882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154765,"about_ca_system_score_gemma":0.002840607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006352191,"about_ca_topic_score_gemma":0.001017608,"domain_scores_codex":[0.9853777,0.007549829,0.0007129105,0.001884878,0.004097107,0.0003776331],"domain_scores_gemma":[0.9397099,0.02880293,0.005458987,0.01789634,0.005236896,0.002894909],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004246109,0.0004334122,0.02422607,0.0006681858,0.0001710237,0.001813562,0.03916267,0.05589048,0.01432397,0.4326846,0.01122374,0.4189777],"study_design_scores_gemma":[0.0001848082,0.0003481316,0.01042931,0.0002938545,0.00008214506,0.001188933,0.009207241,0.1683588,0.008710966,0.6623988,0.1386455,0.0001515315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4003539,0.001287246,0.4990439,0.005874075,0.0005932883,0.0008807458,0.0003685339,0.001723078,0.08987516],"genre_scores_gemma":[0.9001909,0.0003230598,0.08322135,0.0001454516,0.000205143,0.000317949,0.0001922382,0.0001180607,0.01528582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9986513,"threshold_uncertainty_score":0.07019788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349760882662727,"score_gpt":0.3745730771127843,"score_spread":0.331075468286157,"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."}}