{"id":"W1495039464","doi":"10.7910/dvn/sikkdv","title":"Dramatic Growth of Open Access","year":2010,"lang":"en","type":"dataset","venue":"uO Research (University of Ottawa)","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics","open_science"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.02206549,0.0002324862,0.00102305,0.002929413,0.0005936166,0.002994447,0.06933033,0.0008696946,0.008761232],"category_scores_gemma":[0.02012994,0.000215264,0.0002195278,0.004431389,0.001526448,0.007570639,0.02350279,0.00333697,0.0006335797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009280007,"about_ca_system_score_gemma":0.001368034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01567852,"about_ca_topic_score_gemma":0.007945547,"domain_scores_codex":[0.9903596,0.001292114,0.000662358,0.0009698327,0.006091657,0.0006244346],"domain_scores_gemma":[0.9888659,0.004274911,0.001138886,0.002292566,0.00300952,0.0004182843],"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":[0.00001301601,0.0001126882,0.002922198,0.0001104333,0.00004502446,0.00003841874,0.00009360436,8.620935e-7,0.00001536911,0.001458743,0.9931769,0.00201272],"study_design_scores_gemma":[0.0004523299,0.00007251802,0.005411168,0.0001165357,0.00002484909,0.000003593305,0.0008947082,0.00004078101,0.00006096574,0.01370016,0.9790104,0.000212013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002806176,0.00002582765,0.00009219905,0.004044221,0.0003786937,0.000812066,0.9565208,0.00001313456,0.0353069],"genre_scores_gemma":[0.01181566,0.0007828812,0.002134722,0.0002453661,0.0004259854,0.000005126705,0.9332267,0.00006135182,0.05130222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04582754,"threshold_uncertainty_score":0.9989623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3336734854130005,"score_gpt":0.5300456706965908,"score_spread":0.1963721852835903,"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."}}