{"id":"W2180645625","doi":"10.22230/src.2015v6n2a232","title":"From Technical Standards to Research Communities: Implementing New Knowledge Environments Gatherings, Sydney 2014 and Whistler 2015","year":2015,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Affordance; Conversation; Library science; Reading (process); Research council; Sociology; Knowledge production; Media studies; Public relations; Political science; Computer science; Knowledge management; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.08543728,0.0006429689,0.0006101787,0.005894857,0.03315708,0.01870654,0.004541177,0.006548574,0.0109216],"category_scores_gemma":[0.1127401,0.002328353,0.0008937986,0.004118244,0.01777003,0.01499992,0.03758207,0.007655464,0.003231229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03083311,"about_ca_system_score_gemma":0.08050101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05996701,"about_ca_topic_score_gemma":0.2391105,"domain_scores_codex":[0.94156,0.03626234,0.002590584,0.003821851,0.01030558,0.005459594],"domain_scores_gemma":[0.8876967,0.04006785,0.007127644,0.01179712,0.02175472,0.03155598],"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":[0.0002783825,0.0003417303,0.008677911,0.0004833602,0.00006551499,0.002312952,0.6486384,0.0005014528,0.002884676,0.03416932,0.1697034,0.1319429],"study_design_scores_gemma":[0.00009109392,0.0002981325,0.0139883,0.0006112393,0.00002117988,0.000177076,0.2147643,0.0004402375,0.001462394,0.01016446,0.757833,0.0001486826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4156085,0.003649581,0.04096095,0.2123163,0.005833866,0.006574281,0.001184271,0.003346713,0.3105255],"genre_scores_gemma":[0.6619231,0.002030136,0.06853074,0.01896755,0.001145021,0.007227219,0.001580212,0.001125438,0.2374706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9812934,"threshold_uncertainty_score":0.4518409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2835350341486491,"score_gpt":0.4318216297086086,"score_spread":0.1482865955599595,"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."}}