{"id":"W4362599589","doi":"10.5281/zenodo.7802885","title":"Open science : The essential standard for african research","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Data science; Computer science","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.1642694,0.0012895,0.002198903,0.006047021,0.004689882,0.03049221,0.004961897,0.02224291,0.02006754],"category_scores_gemma":[0.2461496,0.001502679,0.00172671,0.006480408,0.01745357,0.03155581,0.01494471,0.03045826,0.02269834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006861301,"about_ca_system_score_gemma":0.06038631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005203546,"about_ca_topic_score_gemma":0.003829132,"domain_scores_codex":[0.8574346,0.05714578,0.01476391,0.006892387,0.05679645,0.006966895],"domain_scores_gemma":[0.7031546,0.1228351,0.0182169,0.05307429,0.07910325,0.02361583],"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":[0.00005758806,0.00007482537,0.0003306914,0.0009214538,0.00001959677,0.00015506,0.00145368,0.0001975713,0.0003590265,0.4784716,0.4475685,0.07039043],"study_design_scores_gemma":[0.00001719692,0.00001525712,0.0005400163,0.001867819,0.000008494733,0.00008375833,0.000630678,0.0001071088,0.0001842201,0.1296376,0.8668828,0.00002509302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0009425679,0.01318119,0.04149064,0.8024406,0.03067906,0.0009429441,0.001807094,0.0009477146,0.1075681],"genre_scores_gemma":[0.06076459,0.04597911,0.3344518,0.3334209,0.02817438,0.006633161,0.00668998,0.003902445,0.1799836],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9950381,"threshold_uncertainty_score":0.8687501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3508643463052486,"score_gpt":0.3916450162284053,"score_spread":0.04078066992315665,"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."}}