{"id":"W2900913270","doi":"10.7557/5.4540","title":"Researcher attitudes to offset agreements for OA publishing","year":2018,"lang":"en","type":"article","venue":"Septentrio Conference Series","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negotiation; Publishing; Presentation (obstetrics); Government (linguistics); Quarter (Canadian coin); Offset (computer science); Political science; Public relations; Business; Library science; Psychology; Medicine; Computer science; Law; History","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.06172262,0.00025842,0.0005499573,0.002331394,0.01065308,0.01709929,0.001307667,0.00375396,0.01056827],"category_scores_gemma":[0.1686823,0.000541295,0.0006253497,0.002218653,0.0070704,0.006496254,0.008852739,0.003700614,0.001340597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006507774,"about_ca_system_score_gemma":0.00794438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896859,"about_ca_topic_score_gemma":0.002992186,"domain_scores_codex":[0.9030117,0.06178731,0.005030917,0.002689378,0.02384133,0.003639461],"domain_scores_gemma":[0.7590373,0.1724095,0.02326931,0.006447144,0.0216806,0.0171563],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003406914,0.0003298736,0.08069967,0.0007232437,0.00007000691,0.00194499,0.8221486,0.0001802631,0.003458841,0.03029774,0.0106793,0.04912675],"study_design_scores_gemma":[0.00004604068,0.0004389009,0.0180835,0.0007053554,0.00003051909,0.0008247266,0.873089,0.0003669789,0.0008710757,0.00476953,0.1006714,0.0001029207],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9087913,0.002461002,0.00262477,0.0294104,0.0008661163,0.0002677421,0.00007146856,0.00007220062,0.05543501],"genre_scores_gemma":[0.9827608,0.001354518,0.001414072,0.005042086,0.0002691215,0.0001693824,0.00004214303,0.00004214886,0.008905729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9986923,"threshold_uncertainty_score":0.3264243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2201991916773561,"score_gpt":0.4082788069515718,"score_spread":0.1880796152742157,"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."}}