{"id":"W4399031155","doi":"10.1007/978-3-031-61175-9_7","title":"A Design-Principle-Friendly Conceptual Model of Observational Crowdsourcing","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Crowdsourcing; Computer science; Observational study; Artificial intelligence; Data science; World Wide Web; Mathematics; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001311316,0.0005388705,0.0005993863,0.001066391,0.0002266142,0.0004918042,0.004051914,0.000328584,0.00002526933],"category_scores_gemma":[0.0002155268,0.0005279532,0.0001549473,0.001427682,0.001250911,0.0008707884,0.002253795,0.0009650893,0.00005838733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003820967,"about_ca_system_score_gemma":0.001818683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009325405,"about_ca_topic_score_gemma":0.000009789494,"domain_scores_codex":[0.9953958,0.00002934904,0.0009330371,0.001554334,0.001482283,0.0006052001],"domain_scores_gemma":[0.9963207,0.0009198228,0.0004196691,0.001487689,0.0007189905,0.0001330812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002781258,0.00001481558,0.00002436494,0.00002840405,0.00001381214,0.00001863764,0.001325709,0.5757859,0.0003443181,0.4027725,0.00002133278,0.01964743],"study_design_scores_gemma":[0.0001193143,0.0000883112,0.00001473796,0.0003338047,0.000008676845,0.00002237607,2.768961e-7,0.7381061,0.001281832,0.2591833,0.000433202,0.0004081487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002385659,0.000192138,0.9950219,0.0007395765,0.001015767,0.0004809204,0.00001973294,0.0002595783,0.002031813],"genre_scores_gemma":[0.1119432,0.000004766787,0.8856307,0.0007249674,0.0002058448,0.0000169685,0.000007542522,0.00004967442,0.001416417],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1623202,"threshold_uncertainty_score":0.9997172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07024770655579259,"score_gpt":0.2920530120122449,"score_spread":0.2218053054564523,"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."}}