{"id":"W4246955247","doi":"10.1109/icpc.2019.00007","title":"Negative Results Track Program Committee","year":2019,"lang":"en","type":"article","venue":"","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Track (disk drive); Computer science; Operating system","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1297608,0.001422816,0.002278351,0.006553335,0.005375295,0.01435543,0.007574764,0.01195547,0.2474621],"category_scores_gemma":[0.3056265,0.002084308,0.003060026,0.003495643,0.002342732,0.006628511,0.008263427,0.01431029,0.1722951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00388272,"about_ca_system_score_gemma":0.04009325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005200245,"about_ca_topic_score_gemma":0.01014641,"domain_scores_codex":[0.9252486,0.02604117,0.006127767,0.005306851,0.03271524,0.004560454],"domain_scores_gemma":[0.4986318,0.08878641,0.01995192,0.04781257,0.30795,0.03686742],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001446433,0.00006749841,0.0002132561,0.000245552,0.0000129749,0.00001102596,0.00003694588,0.00003824145,0.00008434365,0.001808119,0.969892,0.0274453],"study_design_scores_gemma":[0.000236724,0.00007322631,0.0007123981,0.0006629082,0.000036746,0.00003026716,0.00006819782,0.0003094992,0.0003936286,0.004658754,0.9927896,0.00002809155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002414735,0.003548889,0.04674574,0.2659461,0.1558802,0.01167022,0.02111087,0.008646288,0.484037],"genre_scores_gemma":[0.0120875,0.002385005,0.04088242,0.1376163,0.02963247,0.01813044,0.02220803,0.006241286,0.7308166],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8702392,"threshold_uncertainty_score":0.8278433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7367547844737726,"score_gpt":0.5520198116285371,"score_spread":0.1847349728452355,"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."}}