{"id":"W2124194484","doi":"10.12927/hcpol.2013.23399","title":"How to Summarize a 6,000-Word Paper in a Six-Minute Video Clip","year":2013,"lang":"fr","type":"article","venue":"Healthcare policy","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Key (lock); Process (computing); Multimedia; Video recording; Word (group theory); Production (economics); Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004851271,0.0004302767,0.0007412264,0.0006883887,0.0005228966,0.0005028476,0.0008537731,0.0005831558,0.001271243],"category_scores_gemma":[0.01213051,0.0004589975,0.000195313,0.004129626,0.0008465713,0.001192998,0.0003943105,0.001060279,0.002434994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236995,"about_ca_system_score_gemma":0.003342554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5319546,"about_ca_topic_score_gemma":0.1626115,"domain_scores_codex":[0.9864746,0.007096112,0.0007570932,0.0008928148,0.001306565,0.003472785],"domain_scores_gemma":[0.993813,0.00159829,0.0001838801,0.0007914368,0.0004864142,0.003127003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008323367,0.0003331449,0.03223592,0.0005787017,0.00003681809,0.00006892784,0.04190281,0.000004795391,0.0008558111,0.1877042,0.03076963,0.705426],"study_design_scores_gemma":[0.0004894864,0.0003845571,0.1153467,0.0004010283,0.000008806132,0.000003274913,0.004344844,0.0001256305,0.0001116684,0.0199927,0.8582883,0.0005030013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2845663,0.00398514,0.00008038112,0.7010967,0.001054722,0.002113855,0.00007728981,0.00009699022,0.006928678],"genre_scores_gemma":[0.9050868,0.001357669,0.003816488,0.02733831,0.003738153,0.001130472,0.000004308326,0.00008664721,0.05744118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8275187,"threshold_uncertainty_score":0.9997862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5085137866751267,"score_gpt":0.6139124793538948,"score_spread":0.1053986926787681,"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."}}