{"id":"W3105019441","doi":"10.29173/cais1162","title":"Agenda for Studying of Big Deal Cancellation Projects as Information Practice","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Guelph","funders":"","keywords":"Humanities; Perspective (graphical); Sociology; Library science; Political science; Computer science; Philosophy","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04461308,0.0009750855,0.001070043,0.00655124,0.01041878,0.0209325,0.003438815,0.005909442,0.009424213],"category_scores_gemma":[0.04133981,0.0008266005,0.001189499,0.01004918,0.04193608,0.03010621,0.007778382,0.006886066,0.0008484509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01869533,"about_ca_system_score_gemma":0.03062264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007013755,"about_ca_topic_score_gemma":0.006006513,"domain_scores_codex":[0.9524246,0.03892647,0.001363012,0.002374539,0.003610987,0.001300395],"domain_scores_gemma":[0.9192131,0.0609236,0.005753069,0.006087052,0.005721649,0.00230147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000128204,0.00006809695,0.001500135,0.0002926554,0.000005145576,0.00005075282,0.02732077,0.0002312676,0.0001122121,0.960629,0.0009600198,0.008817134],"study_design_scores_gemma":[0.00003962739,0.00008864815,0.003077068,0.002029083,0.00002302697,0.0001035347,0.1570169,0.001913981,0.0003904978,0.7255042,0.1097666,0.00004682205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08467192,0.02153902,0.2994554,0.2730955,0.001186591,0.003175579,0.0006662275,0.000253189,0.3159566],"genre_scores_gemma":[0.8163438,0.01146955,0.1448933,0.005803514,0.0004827305,0.006985162,0.0003395399,0.0001213167,0.01356103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9790675,"threshold_uncertainty_score":0.2359393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04907801099261573,"score_gpt":0.2539888533021697,"score_spread":0.204910842309554,"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."}}