{"id":"W3110794916","doi":"10.54590/pop.2020.005","title":"Foundations for the Canadian Humanities and Social Sciences Commons: Exploring the Possibilities of Digital Research Communities","year":2020,"lang":"en","type":"article","venue":"Pop! Public Open Participatory","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commons; Digital humanities; General partnership; Scholarship; Digital scholarship; Political science; Library science; Publishing; Public relations; Situated; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01522074,0.0005024212,0.0006340423,0.007609537,0.04245357,0.0367491,0.003430811,0.004492513,0.01640529],"category_scores_gemma":[0.02763956,0.0007221056,0.0007654583,0.009079531,0.07214382,0.01556913,0.02349362,0.004541304,0.0009285171],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09429001,"about_ca_system_score_gemma":0.2493081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8891158,"about_ca_topic_score_gemma":0.9311179,"domain_scores_codex":[0.9866876,0.005267992,0.0003417458,0.001191308,0.003723011,0.002788446],"domain_scores_gemma":[0.9730439,0.01126646,0.001125404,0.002935146,0.005775615,0.005853479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000641481,0.000006504989,0.0007437948,0.00005464218,0.000003630329,0.0001422697,0.02240273,0.0001624688,0.00005533698,0.9639058,0.004550034,0.007966306],"study_design_scores_gemma":[0.00002073724,0.000009509095,0.002564072,0.0005575856,0.00001824064,0.000128303,0.08684688,0.001119575,0.0001663347,0.570239,0.3382742,0.00005565058],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05529272,0.005286021,0.03283881,0.1233138,0.0006916701,0.0004365442,0.0007035426,0.0002898614,0.781147],"genre_scores_gemma":[0.9488076,0.002866758,0.01889665,0.003390533,0.0001170064,0.0002458699,0.0002029124,0.0001227029,0.02534999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9965692,"threshold_uncertainty_score":0.6841251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8781466108777336,"score_gpt":0.4483842869333638,"score_spread":0.4297623239443698,"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."}}