{"id":"W2560018107","doi":"","title":"Understanding the Role of Goals in Competitive Crowdsourcing Project Selection","year":2016,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Crowdsourcing; Selection (genetic algorithm); Computer science; Knowledge management; Data science; Process management; Business; World Wide Web; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005842641,0.00009350557,0.000113931,0.0004545039,0.00007844031,0.000290411,0.0006497003,0.00004696048,0.0000200159],"category_scores_gemma":[0.0001563614,0.00005915062,0.00002983392,0.0004933416,0.00004784298,0.00199912,0.00008635814,0.00009667416,0.00006833018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003672976,"about_ca_system_score_gemma":0.0001524673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001415263,"about_ca_topic_score_gemma":0.00002168424,"domain_scores_codex":[0.9986418,0.00008756336,0.0005397015,0.0001148492,0.000487189,0.0001288481],"domain_scores_gemma":[0.9986413,0.0002352878,0.0004024678,0.0001817726,0.0005229011,0.00001627722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008682708,0.00001032565,0.004822427,0.000004463267,0.00001335397,1.257645e-7,0.002205937,0.0003198835,0.0005347079,0.9899231,0.00005891178,0.002098127],"study_design_scores_gemma":[0.004550224,0.000585357,0.02623536,0.004275536,0.00001388656,0.0001516495,0.06176113,0.7327348,0.01284643,0.08053292,0.07497796,0.001334721],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007439163,0.00000340236,0.8675606,0.001344269,0.0005459369,0.0004473368,0.00002369074,0.00008461725,0.122551],"genre_scores_gemma":[0.9993618,0.000003491147,0.0003699038,0.0000699796,0.00003264018,0.00005848697,0.00000497288,0.000003092934,0.00009564016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9919226,"threshold_uncertainty_score":0.280044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07522499513039728,"score_gpt":0.2935883491857207,"score_spread":0.2183633540553234,"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."}}