{"id":"W2803019589","doi":"10.33137/pbsc.v55i1.28652","title":"Marianne Martens. &lt;i&gt;Publishers, Readers, and Digital Engagement&lt;/i&gt;","year":2017,"lang":"en","type":"article","venue":"Papers of The Bibliographical Society of Canada","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006475161,0.0004256512,0.0003204492,0.001725871,0.005642243,0.006653827,0.0007829361,0.002970116,0.09930531],"category_scores_gemma":[0.003566327,0.0004067501,0.0001632815,0.002362006,0.001192366,0.004235045,0.001533096,0.002273041,0.03740376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005764126,"about_ca_system_score_gemma":0.005728323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2096251,"about_ca_topic_score_gemma":0.4543566,"domain_scores_codex":[0.9993479,0.00005049747,0.00002502385,0.0001281362,0.0003481207,0.0001003804],"domain_scores_gemma":[0.9981948,0.0004524622,0.0001088005,0.00006276705,0.00081241,0.0003689154],"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":[0.000006873081,0.000006105116,0.0001423356,0.00005087177,0.000001030929,0.00002212323,0.0006463797,0.00001130944,0.00008004474,0.01884597,0.9636658,0.01652099],"study_design_scores_gemma":[0.000001226382,9.633277e-7,0.0004517724,0.00008410318,0.000001166409,0.000017352,0.0006897562,0.00001108239,0.0001061083,0.001222255,0.99741,0.000004123568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001572989,0.08767515,0.0004584155,0.39906,0.01901995,0.00001980163,0.001577397,0.0002691595,0.4903472],"genre_scores_gemma":[0.01402525,0.01677372,0.0002159794,0.007131665,0.001294711,0.00001194823,0.0001889356,0.0001425841,0.9602152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9933462,"threshold_uncertainty_score":0.4168099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259648357631807,"score_gpt":0.1970958440558843,"score_spread":0.1744993604795662,"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."}}