{"id":"W2066607505","doi":"10.1038/nmeth.3334","title":"Transparency in film: increasing credibility of scientific animation using citation","year":2015,"lang":"en","type":"article","venue":"Nature Methods","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Credibility; Transparency (behavior); Citation; Animation; Computer science; Data science; Scientific evidence; World Wide Web; Multimedia; Political science; Computer graphics (images); Computer security","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004893326,0.0004376679,0.0002831865,0.001016222,0.0006937321,0.002824533,0.0008480554,0.001640955,0.01341057],"category_scores_gemma":[0.1074169,0.0003222752,0.0002731468,0.0006143036,0.0007381528,0.004388691,0.00187676,0.00213333,0.0009267427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006739374,"about_ca_system_score_gemma":0.000529028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006630073,"about_ca_topic_score_gemma":0.0005773946,"domain_scores_codex":[0.9976683,0.001177247,0.0001268604,0.0002264429,0.0006796331,0.0001214833],"domain_scores_gemma":[0.884573,0.09842397,0.006161343,0.004626985,0.004386343,0.001828313],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005500051,0.001872309,0.02288636,0.002615854,0.0002615219,0.001188301,0.02113982,0.008709373,0.1982945,0.08272541,0.03764574,0.6171609],"study_design_scores_gemma":[0.002407459,0.004215945,0.1093968,0.001960471,0.001431713,0.001757534,0.007450575,0.2899584,0.229617,0.2140664,0.1371684,0.0005692944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7546939,0.001681433,0.1086353,0.01263698,0.002410072,0.0004921888,0.0005356079,0.003741322,0.1151732],"genre_scores_gemma":[0.9706525,0.0003641896,0.02287247,0.0004551394,0.0004657967,0.00007237082,0.0001269168,0.0003692602,0.004621228],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9951067,"threshold_uncertainty_score":0.04486281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2034130646138788,"score_gpt":0.5271679801852226,"score_spread":0.3237549155713438,"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."}}