{"id":"W4309618149","doi":"10.1145/3555126","title":"Commoning for Fun and Profit: Experimental Publishing on the Decentralized Web","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Commons; The Internet; Digital ecosystem; World Wide Web; Distrust; Public relations; Framing (construction); Knowledge management; Publishing; Sociology; Political science; Business; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01308925,0.0003494457,0.0004414822,0.001210964,0.005990861,0.006128788,0.001622051,0.001540311,0.008929093],"category_scores_gemma":[0.03620708,0.0003194633,0.0004152968,0.001120312,0.01067724,0.004466158,0.004909735,0.002506144,0.0009437546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570838,"about_ca_system_score_gemma":0.002090743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007132857,"about_ca_topic_score_gemma":0.001003116,"domain_scores_codex":[0.9877273,0.009486843,0.0003177237,0.0008924388,0.0008711015,0.0007046192],"domain_scores_gemma":[0.942706,0.0373916,0.00234321,0.01278125,0.002203299,0.00257457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004506739,0.04471068,0.03132421,0.001350918,0.0001569814,0.002283244,0.5161467,0.002090197,0.02483664,0.1905922,0.01037531,0.1716262],"study_design_scores_gemma":[0.003808753,0.03344367,0.04306471,0.0009584674,0.0002902464,0.00121008,0.4142375,0.01126916,0.06395743,0.18486,0.2425518,0.0003482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680833,0.00008142551,0.005167016,0.001226247,0.0001125445,0.0006056295,0.00009832362,0.00009903602,0.02452652],"genre_scores_gemma":[0.9854453,0.00010573,0.006591081,0.0003634942,0.00007260841,0.001127169,0.00008901668,0.00009332784,0.006112324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.998378,"threshold_uncertainty_score":0.0692234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1148633449272216,"score_gpt":0.38792667380344,"score_spread":0.2730633288762184,"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."}}