{"id":"W4288074662","doi":"10.1080/24701475.2022.2103987","title":"Imagining networked scholarly communication: self-archiving, academic labour, and the early internet","year":2022,"lang":"en","type":"article","venue":"Internet Histories","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"The Internet; Sociology; Scholarly communication; World Wide Web; Computer science; Art; Literature; Publishing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.007744426,0.0004633375,0.0003885751,0.004414158,0.008337351,0.0208092,0.001475508,0.004275654,0.002438049],"category_scores_gemma":[0.008592336,0.0003175197,0.0002944562,0.003419492,0.07136081,0.02784976,0.008829877,0.004549873,0.0004991804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008082067,"about_ca_system_score_gemma":0.004164604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003232145,"about_ca_topic_score_gemma":0.003510828,"domain_scores_codex":[0.9932313,0.005042223,0.0001553221,0.0003089759,0.0008085913,0.0004535569],"domain_scores_gemma":[0.9877291,0.009920279,0.0006877972,0.0006336049,0.0005363251,0.0004930109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001757896,0.00003438368,0.0004310064,0.00005650581,0.000002499488,0.0002041749,0.1471758,0.0001533101,0.0001280411,0.8414832,0.001056735,0.009256746],"study_design_scores_gemma":[0.00002308118,0.00003865334,0.0005441169,0.0006089833,0.000008098687,0.0004122154,0.2078562,0.0004975976,0.0006381886,0.5411867,0.2481611,0.0000250518],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2846486,0.03858515,0.01647542,0.0782551,0.0007208572,0.00005085272,0.00003569759,0.00005739027,0.5811709],"genre_scores_gemma":[0.971825,0.0108185,0.002212873,0.001471181,0.000249885,0.00003853233,0.0000128364,0.00003847674,0.01333263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9791908,"threshold_uncertainty_score":0.05863976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06182878008301225,"score_gpt":0.3554572249285078,"score_spread":0.2936284448454956,"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."}}