{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002191113,0.0001932297,0.0001987828,0.0003438282,0.0004652443,0.01530444,0.004471076,0.00006724388,0.0002526778],"category_scores_gemma":[0.003460968,0.0001747803,0.00005779371,0.0007911767,0.0002154759,0.07009815,0.002739468,0.0002159146,0.0003664051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008313431,"about_ca_system_score_gemma":0.0002610606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001887015,"about_ca_topic_score_gemma":0.0008943901,"domain_scores_codex":[0.9968439,0.0001814652,0.0002961784,0.0008218638,0.0009944503,0.0008621466],"domain_scores_gemma":[0.9967562,0.000243076,0.0001182003,0.001361439,0.001198608,0.0003224799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000178641,0.0001220778,0.002363037,0.0001034943,0.0001293212,0.00002096649,0.00123201,0.000002318689,0.001530215,0.8290148,0.08633833,0.07896478],"study_design_scores_gemma":[0.0005780853,0.0009058061,0.01014771,0.00007389685,0.000009119578,0.000005011434,0.0004811265,0.001137295,0.006087742,0.005485259,0.9747258,0.0003630934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01430575,0.00006949109,0.8745804,0.06179065,0.0009240999,0.002080186,0.0001293185,0.0003773213,0.04574275],"genre_scores_gemma":[0.8442874,0.0002314463,0.1204475,0.001905308,0.000516195,0.0003560518,0.0001208977,0.00003050384,0.03210471],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8883875,"threshold_uncertainty_score":0.9857178,"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."}}