{"id":"W2401522230","doi":"","title":"A Rallying Moment for Canadian Open Source Software","year":2007,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Open source; Moment (physics); Open source software; Software; Computer science; Operating system; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.02392654,0.0004394331,0.0006316882,0.0007317768,0.003148209,0.009472393,0.01490965,0.0001420952,0.0005174052],"category_scores_gemma":[0.00236608,0.0003062612,0.0001861083,0.00362806,0.0002828217,0.0007038641,0.007380853,0.0002240202,0.0005771015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003242084,"about_ca_system_score_gemma":0.0004706211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08481719,"about_ca_topic_score_gemma":0.1126322,"domain_scores_codex":[0.9932171,0.0002847277,0.001283319,0.001842089,0.001895094,0.001477698],"domain_scores_gemma":[0.9917552,0.002441982,0.0006256946,0.0036542,0.0008513184,0.0006715888],"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":[0.0002068595,0.00008966908,0.002854106,0.00001613555,0.00005087507,0.00002072154,0.002185562,0.01068696,0.0000197059,0.0004565436,0.3708605,0.6125523],"study_design_scores_gemma":[0.001024992,0.00003036582,0.01018416,0.00006971574,0.00003396629,0.00002340997,0.004840172,0.005345725,0.00001340491,0.001035186,0.9769333,0.0004656104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02707067,0.0001686473,0.9294114,0.007552806,0.001102613,0.00429292,0.00009094208,0.0002046614,0.03010536],"genre_scores_gemma":[0.6040098,0.000003525528,0.01840597,0.0140289,0.001008963,0.0003580973,0.0002431014,0.0002316051,0.36171],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9110054,"threshold_uncertainty_score":0.999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276222420429471,"score_gpt":0.3726696303498648,"score_spread":0.2450473883069176,"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."}}