{"id":"W6912886036","doi":"10.5281/zenodo.7314060","title":"Estrategias para desarrollar una comunidad local de ciencia abierta: El caso del Grupo de Trabajo sobre Ciencia Abierta de la Concordia University","year":2022,"lang":"es","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Work (physics); Field (mathematics); Subject (documents)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003911444,0.0003486923,0.0003170064,0.0004629348,0.006875169,0.001764471,0.004158823,0.0001508212,0.002282869],"category_scores_gemma":[0.0004935794,0.0004390304,0.0001600601,0.002075012,0.0009702614,0.000452602,0.004720555,0.001195355,0.001339052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802254,"about_ca_system_score_gemma":0.000221203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00063156,"about_ca_topic_score_gemma":0.000009426615,"domain_scores_codex":[0.993085,0.003645802,0.0003554552,0.0009220911,0.0007851727,0.001206483],"domain_scores_gemma":[0.9976381,0.0001787919,0.0002445361,0.0008972666,0.0004415085,0.0005998148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005918905,0.002629307,0.002327728,0.0006459786,0.0005119706,0.003614655,0.04522537,0.05284348,0.008641347,0.3095193,0.1600203,0.4134287],"study_design_scores_gemma":[0.001323729,0.0008394314,0.01116002,0.00006625156,0.00008301796,0.0006706226,0.009078744,0.1475287,0.0002505976,0.0006741473,0.827705,0.0006197257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3748706,0.0004284175,0.3347534,0.00211442,0.000228534,0.0008993823,0.0002257956,0.001580508,0.284899],"genre_scores_gemma":[0.995134,0.0001854261,0.0008825914,0.0002890911,0.00009130535,1.184786e-7,0.0001445258,0.000571508,0.002701427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6676847,"threshold_uncertainty_score":0.9998062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294064411795359,"score_gpt":0.2531333089283282,"score_spread":0.2301926648103746,"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."}}