{"id":"W165593892","doi":"10.22215/timreview/646","title":"Sustainability of Open Collaborative Communities: Analyzing Recruitment Efficiency","year":2013,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Open innovation; Open source; Business; Knowledge management; Point (geometry); Environmental resource management; World Wide Web; Computer science; Economics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02184466,0.0004390807,0.0009708303,0.00565375,0.00123281,0.003224821,0.002119502,0.001331999,0.006211288],"category_scores_gemma":[0.1052939,0.000304053,0.0006440139,0.007268828,0.001557602,0.003576062,0.002122562,0.0006897653,0.001279357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003742825,"about_ca_system_score_gemma":0.002931077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00607352,"about_ca_topic_score_gemma":0.004146758,"domain_scores_codex":[0.9844657,0.007615276,0.0007337661,0.002192245,0.00415536,0.0008376233],"domain_scores_gemma":[0.8858382,0.08064912,0.01435449,0.005262897,0.0116453,0.002250021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007108086,0.0007125101,0.4835232,0.001315554,0.0007879678,0.0002203795,0.002569969,0.1174785,0.00159356,0.04551166,0.01079806,0.3347777],"study_design_scores_gemma":[0.0001596307,0.000915902,0.2721916,0.0006560223,0.0004077486,0.0009921809,0.006281268,0.5610848,0.004785647,0.1222261,0.0301249,0.0001742199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8930045,0.009225147,0.06768896,0.002117462,0.0001053489,0.000645774,0.002265065,0.0003149807,0.02463275],"genre_scores_gemma":[0.9838792,0.0009876332,0.01126654,0.00007628241,0.00006279327,0.00025288,0.0009743734,0.00004612333,0.002454197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02184466,"threshold_uncertainty_score":0.115527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04949753338241539,"score_gpt":0.3614132298056214,"score_spread":0.311915696423206,"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."}}