{"id":"W2899803243","doi":"10.29173/psur16","title":"Picture That: Canada’s 2015 Federal Campaign Through Instagram Images","year":2016,"lang":"en","type":"article","venue":"Political Science Undergraduate Review","topic":"Public Spaces through Art","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Theme (computing); Social media; Political science; Order (exchange); Media studies; Public relations; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001825888,0.0004723708,0.0003698184,0.002275039,0.003398923,0.004304415,0.0007440372,0.001377237,0.01248872],"category_scores_gemma":[0.004751521,0.0001471634,0.0004146593,0.004446796,0.001674545,0.001709183,0.0007749341,0.001930416,0.001350714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01764239,"about_ca_system_score_gemma":0.0478751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9133021,"about_ca_topic_score_gemma":0.9732702,"domain_scores_codex":[0.9990109,0.0001748553,0.00003264439,0.00008963823,0.0005695919,0.0001222991],"domain_scores_gemma":[0.9973636,0.0003926895,0.0001324061,0.00005822809,0.001790491,0.0002625668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001380773,0.0000157081,0.003405607,0.005385542,0.0001706635,0.0001573512,0.004203525,0.0002379627,0.0005775751,0.02321354,0.8029393,0.159555],"study_design_scores_gemma":[0.0000292003,0.00002540423,0.01506819,0.004461503,0.000179102,0.00007170483,0.008045892,0.00009176358,0.0003466846,0.001758353,0.9698807,0.00004149075],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01623627,0.3889875,0.001627714,0.3507586,0.01072621,0.0003922453,0.01557408,0.0002558675,0.2154414],"genre_scores_gemma":[0.3796372,0.3850085,0.004749666,0.1076979,0.002378972,0.0002660425,0.006448165,0.0002109265,0.1136026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08669794,"threshold_uncertainty_score":0.174417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630406432879564,"score_gpt":0.3580066001536494,"score_spread":0.3217025358248538,"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."}}