{"id":"W2340183493","doi":"10.7287/peerj.preprints.1947v1","title":"Boa: a link between worlds","year":2016,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Commit; World Wide Web; Software; Software engineering; Traceability; Database; 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":[],"consensus_categories":[],"category_scores_codex":[0.002417937,0.0007884192,0.0005653896,0.00500615,0.004766472,0.00894488,0.001821991,0.002504176,0.04613357],"category_scores_gemma":[0.01161063,0.000922751,0.001381346,0.005655928,0.002851847,0.01917937,0.01062768,0.002954559,0.0155506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495177,"about_ca_system_score_gemma":0.002220615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01485233,"about_ca_topic_score_gemma":0.02440152,"domain_scores_codex":[0.9974456,0.0008779964,0.0001497957,0.0005447615,0.0006924779,0.000289402],"domain_scores_gemma":[0.9940715,0.002270373,0.0004203357,0.001647015,0.0007261288,0.0008645463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004497025,0.0001836405,0.007362654,0.0009310191,0.0001076435,0.0009354459,0.01081506,0.001756661,0.002838502,0.5720321,0.232707,0.1698806],"study_design_scores_gemma":[0.0000258873,0.00003193495,0.001508659,0.000269214,0.00002481344,0.0004192925,0.002437676,0.003508464,0.0006690007,0.0875949,0.9034584,0.00005183959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03671594,0.003560739,0.5580871,0.01470009,0.002028756,0.001253345,0.025319,0.03247616,0.3258589],"genre_scores_gemma":[0.3201476,0.003150928,0.506176,0.002904205,0.0003825948,0.001625087,0.03832364,0.009491002,0.117799],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04613357,"threshold_uncertainty_score":0.1543322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224580966207266,"score_gpt":0.2500516888583013,"score_spread":0.2278058791962287,"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."}}