{"id":"W2507870097","doi":"10.14195/2183-5462_28_5","title":"Um Contributo Para O Ensino Da Edição De Imagem De Conteúdos Noticiosos Televisivos Para Jornalistas","year":2016,"lang":"pt","type":"article","venue":"Media & Jornalismo","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Audio Recording Academy","funders":"","keywords":"Humanities; Philosophy","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":[0.003093364,0.0007652565,0.0004582028,0.002750949,0.005978697,0.02080127,0.001332086,0.002508087,0.01822394],"category_scores_gemma":[0.008611639,0.0003749318,0.0005586324,0.002695461,0.009737865,0.01062504,0.005065525,0.002804021,0.002229328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00333971,"about_ca_system_score_gemma":0.002856144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003172749,"about_ca_topic_score_gemma":0.006233645,"domain_scores_codex":[0.9981614,0.0008560725,0.00006068616,0.0002924867,0.0004532639,0.0001761924],"domain_scores_gemma":[0.9940159,0.003398107,0.000463358,0.0007799162,0.0009030282,0.000439652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001516369,0.0001018306,0.007692408,0.001510505,0.00004394796,0.0008161184,0.2347977,0.0004252571,0.006697118,0.4563408,0.01842,0.2730028],"study_design_scores_gemma":[0.00002107953,0.0001701255,0.01449569,0.001614505,0.0000977269,0.001503835,0.1480732,0.001134665,0.00428849,0.1545121,0.6739734,0.0001151132],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1541359,0.02827916,0.06490333,0.05028753,0.004768748,0.0001520587,0.0004787919,0.0006653747,0.6963291],"genre_scores_gemma":[0.849205,0.01515865,0.02587255,0.002462793,0.001884725,0.000161818,0.000144174,0.0004345079,0.1046758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02080127,"threshold_uncertainty_score":0.06096518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06207183717644617,"score_gpt":0.3250628396833694,"score_spread":0.2629910025069233,"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."}}