{"id":"W4246789007","doi":"10.1017/9781316716694.004","title":"On Merge","year":2017,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Merge (version control); Information retrieval","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":[0.001440483,0.001132584,0.001083107,0.002098061,0.00376261,0.006428669,0.002273914,0.00181065,0.1517465],"category_scores_gemma":[0.005958303,0.0008583856,0.001224135,0.003881593,0.002982557,0.01788159,0.007038196,0.003058904,0.03608539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773798,"about_ca_system_score_gemma":0.001634088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004171419,"about_ca_topic_score_gemma":0.006370469,"domain_scores_codex":[0.9979951,0.0005183681,0.0001239299,0.0005327289,0.0005515361,0.0002782591],"domain_scores_gemma":[0.9986317,0.0003828186,0.00004523657,0.0005915649,0.0002849659,0.00006366724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004402555,0.00001794693,0.0001230241,0.00008817652,0.00001364116,0.00005242738,0.0004455681,0.0004961304,0.0002647556,0.8397479,0.06643835,0.09226812],"study_design_scores_gemma":[0.00001095459,0.000006933057,0.00007761224,0.0000672678,0.00001213719,0.00009290315,0.000236085,0.001396426,0.0006197728,0.7042383,0.2932307,0.00001072981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005082545,0.004788493,0.2384989,0.006117707,0.001602405,0.0001044999,0.001514712,0.00500803,0.7372826],"genre_scores_gemma":[0.2433242,0.005809394,0.2007104,0.004905155,0.001767145,0.0004606583,0.007676598,0.01037639,0.5249699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1517465,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03999718033537514,"score_gpt":0.2081333904334728,"score_spread":0.1681362100980977,"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."}}