{"id":"W7105650902","doi":"10.5281/zenodo.17451551","title":"A student perspective on Big Team Science: Pathways to open science","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council; Fonds de recherche du Québec","keywords":"Ethos; Context (archaeology); Perspective (graphical); Reflection (computer programming); Identity (music); Experiential learning; Open science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.01446354,0.0006446141,0.0004209206,0.001455107,0.01676097,0.02857743,0.00204992,0.007798134,0.008371297],"category_scores_gemma":[0.01173935,0.0004119193,0.0007127519,0.001363734,0.02713417,0.01674747,0.02399159,0.01500626,0.001831971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004548367,"about_ca_system_score_gemma":0.006690037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492185,"about_ca_topic_score_gemma":0.002021193,"domain_scores_codex":[0.9806178,0.01475028,0.0002608057,0.001070587,0.001405006,0.001895487],"domain_scores_gemma":[0.9834607,0.00603815,0.001025124,0.0009697395,0.001168507,0.007337749],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001064673,0.0003433648,0.004558805,0.0002210647,0.00002237712,0.001020081,0.4990416,0.0006039047,0.001112276,0.4445888,0.0157181,0.03266321],"study_design_scores_gemma":[0.00003491818,0.0003840141,0.001141636,0.0004495955,0.000015405,0.0008670876,0.4572468,0.001445903,0.00109746,0.1681577,0.3690957,0.00006385669],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3397191,0.00380058,0.07716228,0.3499113,0.003550585,0.0002170962,0.0001498119,0.0004874818,0.2250018],"genre_scores_gemma":[0.9581149,0.001650068,0.006982529,0.01351196,0.0004327617,0.000127392,0.00003747647,0.0001732987,0.01896966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9979501,"threshold_uncertainty_score":0.07649148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073364170708235,"score_gpt":0.3783867434326757,"score_spread":0.2710503263618522,"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."}}