{"id":"W6988108300","doi":"","title":"Who Makes a Makerspace?Makerspace Governance in Toronto, Ontario, and London, Ontario","year":2016,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Crafts, Textile, and Design","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Government (linguistics); Information governance; Work (physics); Perspective (graphical)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0005527118,0.001292291,0.001382772,0.0002578585,0.0006619378,0.0004003796,0.0006536487,0.0007661874,0.1204513],"category_scores_gemma":[0.000110947,0.001157369,0.0003210119,0.00007664103,0.0004752708,0.000960708,0.0002932182,0.001263469,0.001057434],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005876289,"about_ca_system_score_gemma":0.0002580404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7807386,"about_ca_topic_score_gemma":0.998733,"domain_scores_codex":[0.9953768,0.0002319487,0.0007357718,0.001573674,0.0008299836,0.001251779],"domain_scores_gemma":[0.997386,0.0001968507,0.000701152,0.001105275,0.0001658458,0.000444875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003807045,0.0003433969,0.0003695559,0.0002744494,0.0004652123,0.0004591729,0.001328709,6.495366e-7,0.0001202259,0.8723087,0.06900854,0.05494063],"study_design_scores_gemma":[0.002096541,0.0001936472,0.000653878,0.001147654,0.0001211129,0.00003292002,0.0006042492,6.903722e-7,0.00005379308,0.004489365,0.9890717,0.00153448],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008322417,0.004054338,2.36712e-7,0.0001401624,0.001547405,0.001039177,0.001570945,0.0003935383,0.9829318],"genre_scores_gemma":[0.01533288,0.001967772,0.0001965228,0.0007373795,0.0003760941,0.000123336,0.00004564732,0.0008005773,0.9804198],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9200631,"threshold_uncertainty_score":0.9999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574180517156426,"score_gpt":0.2131088780788048,"score_spread":0.1973670729072405,"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."}}