{"id":"W2978500877","doi":"10.1007/s11432-018-9908-4","title":"Recursive narrative alignment for movie narrating","year":2019,"lang":"en","type":"article","venue":"Science China Information Sciences","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; St. Lawrence College","funders":"","keywords":"Narrative; Psychology; Computer science; Aesthetics; Cognitive science; Art; Literature","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":[0.00112751,0.0008142704,0.0008044872,0.002303597,0.001325715,0.00161528,0.001285885,0.000835909,0.008643851],"category_scores_gemma":[0.005785798,0.0004985831,0.000847714,0.001844982,0.0004668543,0.002513438,0.001868725,0.001232804,0.003925159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000709523,"about_ca_system_score_gemma":0.001154135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003961809,"about_ca_topic_score_gemma":0.005103214,"domain_scores_codex":[0.998668,0.0004117272,0.0001174548,0.0004560909,0.0002142504,0.0001324552],"domain_scores_gemma":[0.9977624,0.0009522753,0.0002080519,0.0003221836,0.0006359955,0.0001190643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007483201,0.0002698009,0.002579109,0.0005117652,0.0001043877,0.0003593463,0.0023914,0.0134587,0.03569951,0.03081065,0.01849359,0.8945734],"study_design_scores_gemma":[0.00007165792,0.0003525821,0.004969,0.0001539778,0.0001913569,0.0003562154,0.002470266,0.848023,0.04196548,0.05562156,0.04573863,0.00008622928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04021117,0.0006719513,0.9456042,0.0003251316,0.0001067566,0.0003362531,0.001541902,0.006574377,0.004628251],"genre_scores_gemma":[0.262134,0.0003283606,0.7252941,0.00007086067,0.0001127614,0.0003219303,0.006578442,0.0006469784,0.00451244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008643851,"threshold_uncertainty_score":0.02891654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009035638208786,"score_gpt":0.2701492946069241,"score_spread":0.2600589382248362,"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."}}