{"id":"W4385721339","doi":"10.5281/zenodo.8235236","title":"Collaboration networks and their effects on open access uptake: Analyzing how authors of a Canadian federal science department comply with mandates","year":2023,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Open science; Computer security; Mathematics","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":["metaresearch","bibliometrics","open_science"],"consensus_categories":[],"category_scores_codex":[0.02534393,0.0002052064,0.0007155614,0.006312354,0.008554064,0.008421526,0.002576536,0.001940731,0.004768008],"category_scores_gemma":[0.2023244,0.0003309377,0.0005614705,0.01783027,0.00433338,0.003802133,0.005757192,0.002659153,0.0006418854],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04327329,"about_ca_system_score_gemma":0.096981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9385653,"about_ca_topic_score_gemma":0.9518562,"domain_scores_codex":[0.9636355,0.007074515,0.001997835,0.002945106,0.01839512,0.005951984],"domain_scores_gemma":[0.6813477,0.1524695,0.05140698,0.01117912,0.07692201,0.02667468],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003706556,0.0002912246,0.9027331,0.0001603086,0.0002089656,0.0002026109,0.02816909,0.001731508,0.0005964797,0.01351568,0.01060414,0.04141609],"study_design_scores_gemma":[0.00004284708,0.00008443945,0.9447541,0.0001593825,0.0001765615,0.00005904873,0.03315884,0.003043645,0.0006339171,0.002619337,0.01519526,0.00007254132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538842,0.0008375776,0.0006473736,0.01000046,0.00004347054,0.0001135585,0.00211973,0.00005501757,0.03229859],"genre_scores_gemma":[0.9969085,0.0001663784,0.0002588497,0.0002097539,0.00001507674,0.00003165436,0.0004049483,0.00001851097,0.001986352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974235,"threshold_uncertainty_score":0.3139711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3505033587503908,"score_gpt":0.4692609809700305,"score_spread":0.1187576222196397,"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."}}