{"id":"W6930980517","doi":"10.5281/zenodo.3350524","title":"Think Like A Scholar: How to find free and Open Access scholarly resources","year":2019,"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":"University of Guelph","funders":"","keywords":"Multitude; Public access; Institution; Information access; Access to information; Free access; Scholarly communication; Public institution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.04507336,0.001376944,0.002100226,0.01160512,0.01277265,0.04471942,0.004881997,0.01462473,0.06560834],"category_scores_gemma":[0.1738015,0.002077371,0.001626014,0.01325169,0.01741019,0.07355842,0.0224054,0.01123127,0.09858351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003069681,"about_ca_system_score_gemma":0.01656015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003787922,"about_ca_topic_score_gemma":0.01081656,"domain_scores_codex":[0.9627314,0.0170959,0.003887531,0.002783352,0.01193892,0.001562939],"domain_scores_gemma":[0.8835733,0.0633783,0.004409412,0.013297,0.01630957,0.01903237],"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":[0.00005784258,0.0001139435,0.0007937212,0.00145401,0.0000387715,0.0003366261,0.01341569,0.0001736969,0.0008060144,0.06125883,0.5318707,0.3896801],"study_design_scores_gemma":[0.00002764385,0.00003146645,0.0002366034,0.001206878,0.00002222661,0.0005183545,0.008800123,0.0002704202,0.0003121108,0.08442958,0.9040468,0.00009775317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.003826659,0.02887126,0.2137893,0.5195106,0.01888191,0.001402217,0.00130062,0.01151604,0.2009015],"genre_scores_gemma":[0.03176824,0.04198091,0.7008025,0.06036972,0.008842357,0.001826584,0.002346965,0.01047349,0.1415893],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.995118,"threshold_uncertainty_score":0.2383736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09342736533075044,"score_gpt":0.2810111161672733,"score_spread":0.1875837508365229,"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."}}