{"id":"W2883723126","doi":"10.1177/0309132518787997","title":"Digital methods II: Digital-visual methods","year":2018,"lang":"en","type":"article","venue":"Progress in Human Geography","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Visual methods; Visual research; Visualization; Computer science; Digital media; Visual culture; Digital data; Scholarship; Visual analytics; Visual approach; Computer graphics (images); Human–computer interaction; Data science; Multimedia; Visual arts; Geography; World Wide Web; Artificial intelligence; Art; Political science; Telecommunications","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":[0.03281773,0.001332746,0.001354224,0.00837749,0.003031845,0.01735697,0.002820203,0.003684699,0.07681046],"category_scores_gemma":[0.08151527,0.001195074,0.001713615,0.00939495,0.01368868,0.009461962,0.006923872,0.006920263,0.01591748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00715095,"about_ca_system_score_gemma":0.01232248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003190705,"about_ca_topic_score_gemma":0.002230474,"domain_scores_codex":[0.9666386,0.02091856,0.002834228,0.002788621,0.00603139,0.00078861],"domain_scores_gemma":[0.9277796,0.04659503,0.00251053,0.01323223,0.008647979,0.001234602],"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":[0.00008338578,0.00007393351,0.0007193369,0.002727696,0.00005893847,0.00008820307,0.003808113,0.0007042588,0.0004261895,0.7445316,0.04880685,0.1979715],"study_design_scores_gemma":[0.00005653287,0.00005363717,0.0009305272,0.002681842,0.00004446665,0.0002234343,0.002404407,0.0008117344,0.000597765,0.2829506,0.7091941,0.00005095725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002882149,0.02358198,0.4818928,0.01947994,0.00786812,0.006682465,0.005084159,0.001624882,0.4509036],"genre_scores_gemma":[0.08675627,0.02830015,0.7267647,0.009778759,0.005480278,0.02774424,0.003268684,0.002301914,0.109605],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07681046,"threshold_uncertainty_score":0.2569566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03941531400628947,"score_gpt":0.4686489950376088,"score_spread":0.4292336810313194,"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."}}