{"id":"W2166323876","doi":"10.18438/b8m023","title":"Collaboration and Growth","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.003299551,0.0005220422,0.0008376641,0.002064199,0.001859494,0.004147986,0.001648173,0.002409623,0.2261002],"category_scores_gemma":[0.01972037,0.0001889491,0.000809842,0.004045738,0.001419956,0.003975654,0.003326591,0.002459774,0.03399301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002192488,"about_ca_system_score_gemma":0.004577026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003113245,"about_ca_topic_score_gemma":0.005030275,"domain_scores_codex":[0.9974251,0.0008745342,0.0001829939,0.0003876934,0.0008489827,0.0002807846],"domain_scores_gemma":[0.98671,0.005525489,0.001168769,0.001093152,0.003183708,0.002318849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005499343,0.0002593508,0.004726217,0.004729593,0.0001879182,0.0002865804,0.0008217479,0.0002927663,0.0002592894,0.1076708,0.5968856,0.2833302],"study_design_scores_gemma":[0.00007123351,0.0002314075,0.01363795,0.006300308,0.0001916236,0.0003267807,0.00291703,0.000162033,0.0004229312,0.03831971,0.9373835,0.00003565521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00892771,0.194949,0.001623327,0.1661372,0.04620811,0.0002310277,0.007420386,0.0001758761,0.5743274],"genre_scores_gemma":[0.21706,0.2012507,0.00183927,0.02313985,0.01707818,0.0007161016,0.008106914,0.0001567188,0.5306522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2261002,"threshold_uncertainty_score":0.7563807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716197516037878,"score_gpt":0.2320329969324309,"score_spread":0.2148710217720521,"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."}}