{"id":"W1539193847","doi":"10.18438/b82s6k","title":"Applicability: What Is It? How Do You Find It?","year":2010,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Data science; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.06884293,0.001350091,0.003859649,0.005714527,0.00280124,0.01172197,0.00365664,0.007001809,0.0416306],"category_scores_gemma":[0.3386254,0.001007707,0.002467553,0.008269952,0.00768632,0.02341246,0.006739708,0.009776155,0.01888129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00439905,"about_ca_system_score_gemma":0.01329682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003292543,"about_ca_topic_score_gemma":0.005607422,"domain_scores_codex":[0.9426003,0.02712579,0.008354734,0.002998968,0.01791457,0.001005708],"domain_scores_gemma":[0.6936893,0.1864336,0.02424595,0.01606085,0.07186948,0.00770077],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004752826,0.00013921,0.004950318,0.03317222,0.0006868223,0.0003086896,0.001783235,0.0003001742,0.0008646032,0.02755991,0.2445599,0.6851996],"study_design_scores_gemma":[0.0001840096,0.0004691263,0.009071456,0.1508009,0.001825626,0.001608795,0.007632411,0.001076862,0.002285865,0.1630941,0.6616499,0.000300934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.00303423,0.3804969,0.02503984,0.512139,0.03468025,0.0007498441,0.001729917,0.0003703285,0.04175973],"genre_scores_gemma":[0.1637884,0.4922849,0.0414122,0.2037302,0.04447648,0.002208877,0.002701035,0.0008497174,0.04854818],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9311571,"threshold_uncertainty_score":0.3640805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414187379763475,"score_gpt":0.2604336465150744,"score_spread":0.2462917727174397,"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."}}