{"id":"W2331454566","doi":"10.5281/zenodo.48761","title":"Gccaedits_Data: April 2016 Accession","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Accession; Database; Computer science; Business; International trade","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001281068,0.001274849,0.001110151,0.004910878,0.0009235536,0.003600897,0.00196317,0.001547605,0.2704341],"category_scores_gemma":[0.01373255,0.0008157716,0.0007568384,0.01023507,0.0004976115,0.002779254,0.002536087,0.001580582,0.3416972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723549,"about_ca_system_score_gemma":0.003248561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005645,"about_ca_topic_score_gemma":0.02733965,"domain_scores_codex":[0.9986582,0.0002018528,0.0002591686,0.0003173154,0.0003305841,0.0002328713],"domain_scores_gemma":[0.9945444,0.001289844,0.0005269896,0.001280479,0.001754759,0.000603543],"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":[0.00002445113,0.00000351681,0.0002366896,0.0001797306,0.000005711074,0.000007587187,0.00001445416,0.00003816426,0.00002436468,0.0003532284,0.9984939,0.0006183597],"study_design_scores_gemma":[0.00009317124,0.000006236664,0.001696229,0.0002201192,0.00001029696,0.0000250161,0.00007449195,0.00006405111,0.0001500554,0.0007600237,0.996881,0.00001927914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004231547,0.00002429239,0.000023337,0.00006966589,0.00003776689,0.000006949604,0.9984064,0.0001646797,0.001224774],"genre_scores_gemma":[0.0003381237,0.00006094158,0.0001278964,0.00006194685,0.00001643756,0.00006554396,0.9969464,0.0001978156,0.00218492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9963991,"threshold_uncertainty_score":0.9046921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1692378838257816,"score_gpt":0.4313172389312036,"score_spread":0.262079355105422,"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."}}