{"id":"W6948747714","doi":"10.5281/zenodo.10977571","title":"Artifact for ACM CSUR article: \"A Meta-Study of Software-Change Intentions\"","year":2024,"lang":"en","type":"dataset","venue":"TU/e Research Portal","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Artifact (error); Raw data; Term (time); Software","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001861768,0.0002452981,0.0005245744,0.0005416651,0.000265025,0.0001420566,0.0009480288,0.0001888158,0.02276584],"category_scores_gemma":[0.0008281828,0.0001931838,0.0003392803,0.0004852956,0.000238366,0.0002349427,0.0002023516,0.000713388,0.00383402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006709774,"about_ca_system_score_gemma":0.0001674124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01086699,"about_ca_topic_score_gemma":0.03216894,"domain_scores_codex":[0.9969887,0.0002385708,0.0004005689,0.0005646438,0.001185148,0.0006224226],"domain_scores_gemma":[0.9977791,0.0008207466,0.0001140035,0.0008163464,0.0002334222,0.0002363741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009616434,0.0001961139,0.01451651,0.0002378028,0.001016992,0.0002178402,0.0001055565,0.000002670281,4.554921e-7,5.762614e-7,0.9806603,0.002949084],"study_design_scores_gemma":[0.0004600963,0.001690342,0.02079073,0.00004670425,0.001230724,0.00002126237,0.001588183,0.00004214407,0.000014308,0.0002933232,0.9735104,0.0003117739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02346073,0.0008764147,0.00000181604,0.0001145566,0.000463657,0.001557694,0.9732783,0.00003658902,0.0002102059],"genre_scores_gemma":[0.05658719,0.0001018045,0.0002102145,0.00004342375,0.000338928,0.00009581677,0.9423422,0.000007545221,0.0002728885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03312647,"threshold_uncertainty_score":0.9969416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4970060933015617,"score_gpt":0.3807034613291169,"score_spread":0.1163026319724448,"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."}}