{"id":"W3160858478","doi":"10.11575/prism/36706","title":"Coping with the Big Deal: Paying, unbundling or walking away","year":2018,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unbundling; Coping (psychology); Business; Computer science; Psychology; Industrial organization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01688581,0.0004212913,0.0009057799,0.001697332,0.008800549,0.02300004,0.001747997,0.00626894,0.01497282],"category_scores_gemma":[0.05155246,0.0003657497,0.0005541684,0.003912346,0.01133225,0.01931367,0.006153035,0.007286473,0.002943386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006786653,"about_ca_system_score_gemma":0.01531846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092736,"about_ca_topic_score_gemma":0.02975557,"domain_scores_codex":[0.9879382,0.005197054,0.0004136437,0.000425725,0.003014469,0.003010882],"domain_scores_gemma":[0.9724612,0.01018353,0.002968646,0.002114473,0.004619624,0.007652479],"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":[0.0002734996,0.0002525578,0.008591195,0.0008334842,0.0001009988,0.0006626187,0.02995027,0.000356716,0.00089046,0.2182439,0.4376046,0.3022395],"study_design_scores_gemma":[0.00005194361,0.0002255818,0.0143282,0.002859187,0.00009957657,0.0006258647,0.1580681,0.0005767325,0.0008752755,0.1072253,0.7148906,0.0001736313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1212184,0.02727861,0.008857298,0.5536498,0.01073806,0.0003320232,0.000148004,0.0003098989,0.2774678],"genre_scores_gemma":[0.7161399,0.02351222,0.008328503,0.1338319,0.003686765,0.0002250059,0.0001572395,0.0004231154,0.1136954],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9769999,"threshold_uncertainty_score":0.08930182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02903160343428228,"score_gpt":0.2473092463485644,"score_spread":0.2182776429142821,"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."}}