{"id":"W2971926688","doi":"10.1109/mcomstd.2019.8823834","title":"Standards for Open Source Development","year":2019,"lang":"en","type":"article","venue":"IEEE Communications Standards Magazine","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada)","funders":"","keywords":"Open source; Engineering ethics; Computer science; Data science; Engineering; Programming language; Software","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":[0.02393161,0.0009486683,0.0009316084,0.004157559,0.002202873,0.01065533,0.003669199,0.00873677,0.02939258],"category_scores_gemma":[0.1007289,0.0009024002,0.001006856,0.003150675,0.00314806,0.008017453,0.005188601,0.01357174,0.03763254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002122679,"about_ca_system_score_gemma":0.009060943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401177,"about_ca_topic_score_gemma":0.001905771,"domain_scores_codex":[0.9748848,0.004092772,0.004937056,0.001560528,0.01356764,0.0009571402],"domain_scores_gemma":[0.8872804,0.03594605,0.006271074,0.01176536,0.05320871,0.005528348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002155192,0.00003415694,0.0001140974,0.0004255574,0.00001507284,0.00009428119,0.0001648135,0.0001886657,0.0008003605,0.04457708,0.8672233,0.08634105],"study_design_scores_gemma":[0.000006023759,0.00001096115,0.0000814162,0.0002739055,0.00000395577,0.00007229632,0.00003991432,0.0001735015,0.0003315051,0.009569525,0.989424,0.00001301841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"methods","genre_scores_codex":[0.0007607557,0.01404047,0.1616927,0.215344,0.483656,0.0005518069,0.001405451,0.00714206,0.1154066],"genre_scores_gemma":[0.02124358,0.04964475,0.152483,0.09408951,0.3243076,0.001998969,0.01033159,0.01274683,0.333154],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9963308,"threshold_uncertainty_score":0.126564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.164146930222637,"score_gpt":0.4500261588124295,"score_spread":0.2858792285897925,"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."}}