{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01203054,0.000439647,0.0004772882,0.001738767,0.009192216,0.009890417,0.002294926,0.002220741,0.009805978],"category_scores_gemma":[0.01291377,0.0003029315,0.0004386588,0.003088859,0.005744334,0.003191052,0.01446658,0.002023903,0.0009530894],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0150397,"about_ca_system_score_gemma":0.03491137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1305452,"about_ca_topic_score_gemma":0.2618477,"domain_scores_codex":[0.9887818,0.005136511,0.0002938427,0.001087724,0.001950291,0.002749791],"domain_scores_gemma":[0.9860102,0.00373649,0.001314851,0.001646793,0.002690891,0.004600768],"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":[0.0007444583,0.0007340134,0.1092079,0.001031222,0.0001230403,0.001236194,0.2873368,0.003846671,0.007597901,0.1005638,0.02990361,0.4576743],"study_design_scores_gemma":[0.0001729648,0.0005460336,0.249148,0.001046812,0.0001621428,0.0003269854,0.4635609,0.003103912,0.003324365,0.0285984,0.2498558,0.0001536316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.774304,0.002541809,0.007387431,0.02093655,0.0001623648,0.0005826854,0.0001953313,0.0002484663,0.1936413],"genre_scores_gemma":[0.9786971,0.0004731205,0.002949731,0.0006218817,0.00002631069,0.0001471154,0.00007722014,0.00003320678,0.01697422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9977051,"threshold_uncertainty_score":0.2595707,"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."}}