{"id":"W1558953815","doi":"","title":"Before and After: OA in Developing Countries","year":2007,"lang":"en","type":"article","venue":"Hispana","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Developing country; Poverty; Political science; Economic growth; Publishing; Business; Public relations; Economics","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":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.01509292,0.00008036551,0.0001646106,0.03434674,0.00009373704,0.0007541153,0.000574518,0.0000717076,0.0001999452],"category_scores_gemma":[0.005603899,0.00005715714,0.00002774773,0.07654689,0.0001300661,0.0003403268,0.0003364591,0.0001154511,0.000170258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172479,"about_ca_system_score_gemma":0.00009354182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001069479,"about_ca_topic_score_gemma":0.00270109,"domain_scores_codex":[0.9955529,0.00003701601,0.0004060568,0.0003887938,0.003141125,0.0004741236],"domain_scores_gemma":[0.9978426,0.001060184,0.00006570504,0.000268118,0.0005735477,0.0001898932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001665474,0.000009547996,0.8796029,0.00000332261,0.000001467725,0.00005767667,0.0003755846,4.706242e-7,0.00000838167,0.004719174,0.0009842444,0.1142206],"study_design_scores_gemma":[0.0001494771,0.00002662811,0.846194,0.000006279078,5.334711e-7,0.000005034834,0.0001509414,0.000172253,0.00009336454,0.00376846,0.1493629,0.00007012283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896082,0.001112857,0.004370553,0.001952702,0.0002150751,0.000094728,0.000004870268,0.00001110636,0.002629936],"genre_scores_gemma":[0.9967115,0.0001960646,0.001708814,0.0004969734,0.00003502138,0.000003095888,5.51655e-7,0.000004758134,0.0008432383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1483787,"threshold_uncertainty_score":0.9765981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2989519794056819,"score_gpt":0.5168096986519236,"score_spread":0.2178577192462418,"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."}}