{"id":"W2145917081","doi":"10.2139/ssrn.1436153","title":"Networks, Social Influence and the Choice Among Competing Innovations: Insights from Open Source Software Licenses","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Open source software; Open source; Software; Computer science; Data science; Business; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.002330447,0.0001608645,0.0003736877,0.001353827,0.001536578,0.004347677,0.0006777899,0.001526445,0.007979317],"category_scores_gemma":[0.02101058,0.0002086508,0.0003157974,0.001391256,0.002315646,0.006248204,0.001724917,0.001244107,0.0004890171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340626,"about_ca_system_score_gemma":0.0007488293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007137144,"about_ca_topic_score_gemma":0.01042454,"domain_scores_codex":[0.999082,0.0004818308,0.0000309507,0.0001140506,0.0001709562,0.0001202596],"domain_scores_gemma":[0.9578583,0.03556975,0.003335259,0.0008695929,0.0009179771,0.001449156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001259671,0.001657482,0.3665145,0.0004000876,0.0003134926,0.001771211,0.03867475,0.01862467,0.004281306,0.4259021,0.005078323,0.1355223],"study_design_scores_gemma":[0.0002140824,0.0003408732,0.2702209,0.0001794641,0.0002228024,0.000692689,0.04444521,0.0619552,0.001357762,0.5931876,0.02704,0.000143486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931909,0.0007045673,0.006078189,0.003219734,0.00001584238,0.00002100128,0.0001213432,0.00001982662,0.05791053],"genre_scores_gemma":[0.9981599,0.0001713311,0.0003297456,0.00004470117,0.00001264065,0.000007421751,0.00002612528,0.000005967265,0.001242087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007979317,"threshold_uncertainty_score":0.0266934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584796944647919,"score_gpt":0.240996802516073,"score_spread":0.2251488330695938,"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."}}