{"id":"W6968436346","doi":"10.5281/zenodo.3821954","title":"Cooperative Non-APC Publishing Models: Canada, Europe and Latin America","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; General partnership; Latin Americans; Metadata; Electronic publishing; Best practice; Data sharing; Grey literature","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003546185,0.0001199017,0.0001326358,0.00007431803,0.002997939,0.009431174,0.0009679976,0.00002854881,0.003754561],"category_scores_gemma":[0.001268897,0.000119271,0.00001799691,0.0002258912,0.0001765901,0.002651277,0.0009963525,0.0004868851,0.0003652176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007366923,"about_ca_system_score_gemma":0.00002043978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738061,"about_ca_topic_score_gemma":0.001118263,"domain_scores_codex":[0.9986234,0.0003265744,0.0002078465,0.0002951409,0.0003100735,0.0002370182],"domain_scores_gemma":[0.9984207,0.00003776914,0.00009709459,0.0002870072,0.000927839,0.00022957],"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":[0.00003412182,0.00003846897,0.000002598022,0.00003008338,0.0000384055,0.000007577296,0.04268643,0.0002481625,0.0002685653,0.05810679,0.8552671,0.04327167],"study_design_scores_gemma":[0.0002335016,0.0001019331,0.0000898052,0.00001462545,0.000007408991,0.000004557432,0.003303593,0.01078348,0.00001602102,0.0001066076,0.9851934,0.0001451129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02269363,0.0002256889,0.001960173,0.03031243,0.000120929,0.000349308,0.0005018915,0.000682277,0.9431537],"genre_scores_gemma":[0.9939249,0.0000770794,0.0001270829,0.002398985,0.000255117,4.486205e-8,0.001173754,0.0004940355,0.001548999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9712313,"threshold_uncertainty_score":0.9983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07822147510694098,"score_gpt":0.2141594604977238,"score_spread":0.1359379853907828,"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."}}