{"id":"W4285296964","doi":"10.1177/16094069221108035","title":"Data Analyses using the Action Project Method Coding Technique: A Guide","year":2022,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Community Health and Development","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Coding (social sciences); Underpinning; Computer science; Data science; Data collection; Action research; Action (physics); Management science; Psychology; Sociology; Engineering; Mathematics education","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.06827357,0.0001282625,0.0003291992,0.0005395124,0.001350075,0.00002299071,0.001659431,0.00004694198,0.0004595685],"category_scores_gemma":[0.006336552,0.00008898137,0.0001078052,0.000493856,0.00005812059,0.0003134664,0.00139458,0.001724542,0.000001739527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106478,"about_ca_system_score_gemma":0.002293067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001327783,"about_ca_topic_score_gemma":0.00006282064,"domain_scores_codex":[0.9514291,0.04577428,0.001415608,0.0001738172,0.0009563701,0.0002507886],"domain_scores_gemma":[0.9824792,0.01394745,0.001832837,0.0004398217,0.00122539,0.00007529039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002615345,0.0005860066,0.0009204509,0.0002996911,0.002807516,0.0001019229,0.4934907,0.001582143,0.09867955,0.01520995,0.09368449,0.2900223],"study_design_scores_gemma":[0.0008363313,0.0001591622,0.0002960681,0.0001887097,0.00009868894,0.000237976,0.428564,0.005218651,0.001061354,0.01103511,0.5521287,0.0001752602],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0028154,0.0003036964,0.9864981,0.006204635,0.002137655,0.0005804827,0.000140873,0.00001834628,0.001300796],"genre_scores_gemma":[0.004452203,0.0000831158,0.9918288,0.002638648,0.0003936717,0.00009510991,0.00003972251,0.0000185817,0.0004501274],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4584441,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9687542695661779,"score_gpt":0.8458841983427158,"score_spread":0.1228700712234622,"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."}}