{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002427185,0.0003078866,0.0005101811,0.00006069521,0.001448103,0.0003137794,0.001423236,0.00008952125,0.0004569366],"category_scores_gemma":[0.004172801,0.0001896708,0.0001409077,0.001169149,0.003663806,0.001713652,0.0002478164,0.0002126531,0.0002114243],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002433271,"about_ca_system_score_gemma":0.01025518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5294299,"about_ca_topic_score_gemma":0.5305637,"domain_scores_codex":[0.9932614,0.000419833,0.0004181968,0.0007471193,0.002319831,0.002833608],"domain_scores_gemma":[0.9969405,0.0004623499,0.0001559698,0.0006008176,0.0003722843,0.001468106],"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":[0.000001180692,0.00003067877,0.00186143,0.00009181671,0.000008329454,0.0000113671,0.000144258,4.820045e-8,0.00003718189,0.9098299,0.08362869,0.004355104],"study_design_scores_gemma":[0.0001938328,0.00003123696,0.0019374,0.000983599,0.00002913367,0.00001599696,0.0007202619,0.000001155123,0.0002115102,0.08069833,0.9147198,0.000457784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0005871789,0.006710283,0.001261518,0.6925868,0.000859073,0.0007315694,0.00004350271,0.000202817,0.2970172],"genre_scores_gemma":[0.9578286,0.01676718,0.0006526415,0.01884177,0.0003418849,0.00003965881,0.000002444704,0.00002073099,0.005505127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9572414,"threshold_uncertainty_score":0.9998519,"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."}}