{"id":"W7100889233","doi":"","title":"Pearls, Pith, and Provocation Spiraling Between Qualitative and Quantitative Data on Women’s Health Behaviors: A Double Helix Model for Mixed Methods","year":2016,"lang":"en","type":"article","venue":"","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Qualitative property; Ethnic group; Qualitative research; Set (abstract data type); Qualitative analysis; Ethnography; Focus group; Quantitative analysis (chemistry)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002496634,0.0001933731,0.0002765861,0.000251462,0.0002760929,0.00017649,0.0002210473,0.0001053647,0.00001903418],"category_scores_gemma":[0.000153495,0.0001520613,0.0000177582,0.0002490644,0.00007537536,0.002130073,0.0003229164,0.0001213265,0.000006335353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851065,"about_ca_system_score_gemma":0.00005968543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003846792,"about_ca_topic_score_gemma":0.00005696867,"domain_scores_codex":[0.9984953,0.00005366826,0.0003386455,0.0005463868,0.0002578516,0.0003081068],"domain_scores_gemma":[0.9987752,0.0002586112,0.0003966115,0.0003220371,0.00021502,0.00003249207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007637767,0.0002771579,0.007490298,0.0006514826,0.0002206717,7.68578e-7,0.01650462,0.000134534,0.002644053,0.8917742,0.005987458,0.07355095],"study_design_scores_gemma":[0.03249077,0.001607324,0.01620687,0.001558925,0.0006684094,0.000001835227,0.2207385,0.5439673,0.00252435,0.1491574,0.02697121,0.004107038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4897083,0.00001123559,0.5043742,0.004738546,0.0000421124,0.0006644484,0.00009332849,0.00006470225,0.0003030778],"genre_scores_gemma":[0.8983495,0.000008898744,0.09877577,0.00126972,0.0001450178,0.00006301502,0.000146502,0.00003366185,0.001207906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7426168,"threshold_uncertainty_score":0.620088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2320544508181981,"score_gpt":0.4254825133348086,"score_spread":0.1934280625166105,"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."}}