{"id":"W4402215845","doi":"10.18432/ari29768","title":"From Threads to Frames","year":2024,"lang":"en","type":"article","venue":"Art/Research International A Transdisciplinary Journal","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.01056002,0.0008793934,0.0006792959,0.003002374,0.01045927,0.02198858,0.001936961,0.003488482,0.03436647],"category_scores_gemma":[0.02293337,0.0007319699,0.0009147544,0.003643005,0.02024964,0.0224644,0.0124522,0.004042145,0.004623677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007524477,"about_ca_system_score_gemma":0.007176213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005666143,"about_ca_topic_score_gemma":0.00594172,"domain_scores_codex":[0.9913802,0.005358591,0.0003079089,0.001292179,0.0009432748,0.000717813],"domain_scores_gemma":[0.9876648,0.006817866,0.0006520868,0.002265511,0.001204052,0.001395875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004084102,0.00001791853,0.0005188314,0.0001434677,0.000008928487,0.000293661,0.099756,0.00009041184,0.0002766227,0.8683172,0.01108792,0.01944811],"study_design_scores_gemma":[0.0000183557,0.00002326891,0.0003257048,0.0005941296,0.00001196404,0.0001576463,0.04886977,0.000363168,0.0002283351,0.315717,0.6336764,0.00001423774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.04484457,0.008444973,0.2532923,0.05987063,0.005584268,0.0009757129,0.001221502,0.001415375,0.6243507],"genre_scores_gemma":[0.6877381,0.005116875,0.1224564,0.006083145,0.001606686,0.001759814,0.001508712,0.002369415,0.1713608],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03436647,"threshold_uncertainty_score":0.1149673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6960804934896356,"score_gpt":0.7223188287410822,"score_spread":0.02623833525144659,"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."}}