{"id":"W13473787","doi":"","title":"Building an Open Source Company One Penguin at a Time","year":2007,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open source; Computer science; Business; Operating system; Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.006308617,0.0008704247,0.001081662,0.0005123591,0.00303847,0.006055852,0.02376078,0.0003501021,0.0005383932],"category_scores_gemma":[0.0003499846,0.0007705468,0.0001533409,0.005871496,0.0005523706,0.002980907,0.02124656,0.0007211219,0.001637497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000553462,"about_ca_system_score_gemma":0.0003228218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969461,"about_ca_topic_score_gemma":0.0004790232,"domain_scores_codex":[0.9924289,0.0006336448,0.001511232,0.002045877,0.001558954,0.001821379],"domain_scores_gemma":[0.9916419,0.001067859,0.0009870214,0.004702291,0.001007353,0.0005935095],"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":[0.001668005,0.004798401,0.008714112,0.0002202473,0.0008891944,0.0004129216,0.03063676,0.03176659,0.04849003,0.03510185,0.1874971,0.6498048],"study_design_scores_gemma":[0.001861813,0.0001351149,0.01479774,0.0001689357,0.00006026992,0.0002676666,0.0004797191,0.01442044,0.0006868494,0.0008035713,0.9649773,0.001340632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1567829,0.0001782381,0.8116542,0.004676301,0.0002638023,0.003028738,0.00001608838,0.001209581,0.02219018],"genre_scores_gemma":[0.7765865,0.000005283718,0.1461107,0.01181133,0.001218484,0.0002858775,0.0001697869,0.0005425516,0.06326945],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7774801,"threshold_uncertainty_score":0.9994745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435336380046659,"score_gpt":0.2952621312715956,"score_spread":0.260908767471129,"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."}}