{"id":"W2472152857","doi":"10.1287/isre.2016.0646","title":"Folding and Unfolding: Balancing Openness and Transparency in Open Source Communities","year":2016,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Transparency (behavior); Openness to experience; Computer science; Open data; Computer security; World Wide Web; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02662501,0.0003628347,0.0004742427,0.003542322,0.01103893,0.01374251,0.001676911,0.002185937,0.002502408],"category_scores_gemma":[0.07207116,0.0006135365,0.0006053117,0.002698784,0.05926081,0.02877564,0.02193141,0.003884646,0.0002717377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004916572,"about_ca_system_score_gemma":0.005818073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002164406,"about_ca_topic_score_gemma":0.001732501,"domain_scores_codex":[0.9757814,0.01686616,0.0007806514,0.001589682,0.003316286,0.001665897],"domain_scores_gemma":[0.9159496,0.05996764,0.006485426,0.01009034,0.00366655,0.003840405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001023572,0.00006075795,0.007414304,0.00009577985,0.00001248449,0.0004626519,0.3046095,0.001038952,0.001558014,0.6561388,0.0004628328,0.02804359],"study_design_scores_gemma":[0.00004363085,0.00006921576,0.004512561,0.0002389491,0.00002423684,0.0003336312,0.1198755,0.004902191,0.002050743,0.8425161,0.02537402,0.00005922213],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6485325,0.0007475351,0.2520046,0.01356894,0.0001196509,0.0002343323,0.0000358131,0.0002487063,0.08450796],"genre_scores_gemma":[0.991203,0.00007547982,0.007574075,0.000117557,0.00001479131,0.00004462838,0.00000721399,0.00003135752,0.0009319288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9983231,"threshold_uncertainty_score":0.1408082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070860974475462,"score_gpt":0.3658371049569087,"score_spread":0.2587510075093625,"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."}}