{"id":"W1513816295","doi":"10.22230/src.2014v5n4a181","title":"Research Collaboration as “Layers of Engagement”: INKE in Year Four","year":2014,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Work (physics); Process (computing); Knowledge management; Productivity; Best practice; Reflection (computer programming); Public relations; Project team; Engineering ethics; Sociology; Political science; Process management; Business; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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"],"consensus_categories":[],"category_scores_codex":[0.07895922,0.0006905918,0.001020635,0.003267289,0.02360133,0.04333066,0.005336463,0.005764659,0.00677678],"category_scores_gemma":[0.07983317,0.001012768,0.0008940133,0.003035709,0.018057,0.01748906,0.05180498,0.01264122,0.001310274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02298076,"about_ca_system_score_gemma":0.05942216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008837605,"about_ca_topic_score_gemma":0.01743648,"domain_scores_codex":[0.93105,0.03734866,0.002796364,0.002866692,0.0132645,0.01267378],"domain_scores_gemma":[0.886997,0.03563658,0.007240293,0.01190536,0.01219864,0.04602204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000527403,0.001486519,0.01858068,0.0007087338,0.00005559454,0.003225812,0.5271846,0.0008004466,0.001537013,0.1412023,0.05005731,0.2546335],"study_design_scores_gemma":[0.00005584109,0.0007418672,0.01302122,0.0008691067,0.00002196305,0.000775516,0.3473708,0.0003994512,0.001786724,0.02720951,0.6075633,0.0001848237],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.646245,0.004571523,0.0275585,0.1203981,0.005430688,0.002649586,0.0004911723,0.0009127056,0.1917428],"genre_scores_gemma":[0.9161615,0.001241702,0.01645801,0.006865724,0.0002594742,0.00124239,0.0003185084,0.0001830142,0.05726962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9566693,"threshold_uncertainty_score":0.4175813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3088112713784174,"score_gpt":0.5572842066191961,"score_spread":0.2484729352407787,"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."}}