{"id":"W4387932975","doi":"10.1145/3630646.3630652","title":"Encouraging Scientific Collaborations with ConfFlow 2021","year":2022,"lang":"en","type":"article","venue":"ACM SIGMultimedia Records","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Space (punctuation); Similarity (geometry); Construct (python library); Computer science; Data science; Matching (statistics); Sociology; Engineering ethics; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007979076,0.0001824382,0.0002603636,0.0007370521,0.002222759,0.001761315,0.002954121,0.00002460713,0.01112634],"category_scores_gemma":[0.006198512,0.0001436851,0.00007591361,0.005208114,0.0002983029,0.0004532265,0.002011125,0.0002694025,0.0007467761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317779,"about_ca_system_score_gemma":0.0004660235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001082291,"about_ca_topic_score_gemma":0.0002994312,"domain_scores_codex":[0.9941477,0.0003525646,0.0006046119,0.001351059,0.003075364,0.0004686753],"domain_scores_gemma":[0.9933307,0.002259138,0.0003131025,0.003280694,0.0006029709,0.0002134169],"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":[0.00004694963,0.0001703863,0.01350309,0.000001970559,0.00003016655,0.00005655143,0.00238759,0.006487262,0.0003964489,0.0003968686,0.7504366,0.2260861],"study_design_scores_gemma":[0.0007004724,0.0001271098,0.002879972,0.000006987967,0.00002216109,0.00001606829,0.009512588,0.06900144,0.0001561854,0.002788588,0.914472,0.000316421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014265,0.0003204166,0.02820967,0.0141313,0.02946451,0.001455421,0.0006759971,0.0003590767,0.0239571],"genre_scores_gemma":[0.9323149,0.000002350462,0.02107588,0.0002856146,0.0002355025,0.0001287407,0.000195645,0.00002075076,0.04574062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2257697,"threshold_uncertainty_score":0.999275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066582680384894,"score_gpt":0.349241876631371,"score_spread":0.2425836085928816,"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."}}