{"id":"W4381460170","doi":"10.21105/joss.05135","title":"LaMa: a thematic labelling web application","year":2023,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Qualitative Research Methods and Applications","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Documentation; Computer science; Thematic analysis; Set (abstract data type); Artifact (error); Thematic map; Qualitative analysis; Data science; Information retrieval; World Wide Web; Qualitative research; Artificial intelligence; Cartography; Programming language","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":[0.03100378,0.001469458,0.001167393,0.005602635,0.003235846,0.004822593,0.003460193,0.002254168,0.133083],"category_scores_gemma":[0.04914608,0.002107841,0.002524554,0.005177072,0.001888081,0.005425582,0.01009582,0.003985606,0.04411103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003526981,"about_ca_system_score_gemma":0.005720922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196096,"about_ca_topic_score_gemma":0.006346254,"domain_scores_codex":[0.9880081,0.008421507,0.0009068006,0.0009917329,0.001357248,0.0003144911],"domain_scores_gemma":[0.9457793,0.04284689,0.001805516,0.004487926,0.004279529,0.0008009728],"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":[0.0009166948,0.0002787104,0.001479594,0.009197393,0.0002455382,0.0005521396,0.02619409,0.001971761,0.009116501,0.05911072,0.4460647,0.4448721],"study_design_scores_gemma":[0.0004287616,0.0000949861,0.001919137,0.002941841,0.00008575364,0.0003330495,0.006037295,0.01690659,0.005802495,0.1029451,0.862247,0.000258005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004608716,0.0005585516,0.8000807,0.002983567,0.0008388531,0.007004824,0.0269443,0.1089696,0.04801101],"genre_scores_gemma":[0.01273745,0.0003133676,0.9116755,0.001183336,0.000123666,0.0274879,0.008945904,0.01626501,0.02126779],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.133083,"threshold_uncertainty_score":0.4452068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1718401494629259,"score_gpt":0.5169046489298723,"score_spread":0.3450644994669465,"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."}}