{"id":"W7040111353","doi":"","title":"Firebird","year":2016,"lang":"en","type":"other","venue":"RMIT Research Repository (RMIT University Library)","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Movie theater; Narrative; Excellence; Film studies; Field (mathematics); Wish; Focus (optics); Feature film; Face (sociological concept); Chose","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002899009,0.0003237179,0.0004160217,0.001658271,0.0005009449,0.0004980119,0.004718138,0.0004217721,0.00132386],"category_scores_gemma":[0.00003544011,0.0002923312,0.0002597486,0.001177939,0.0003566478,0.001490269,0.002433361,0.0006931482,0.002294395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301751,"about_ca_system_score_gemma":0.000684773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006643465,"about_ca_topic_score_gemma":0.00002818115,"domain_scores_codex":[0.9960191,0.0007695649,0.0001930151,0.0011537,0.001073682,0.0007909632],"domain_scores_gemma":[0.9967958,0.0002737999,0.0001728236,0.002216789,0.00007817203,0.0004625539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008167054,0.00005131266,0.0005447934,0.0000434999,0.0001472693,0.001300806,0.00003992877,1.47733e-7,0.00007467319,0.01307612,0.9804656,0.004247716],"study_design_scores_gemma":[0.0002644187,0.00005720526,0.0001146245,0.0002951024,0.00002006335,0.00001332101,0.00003746403,0.0001399982,0.0005518908,0.0001188332,0.998019,0.0003680901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005974304,0.0004252069,0.003485736,0.001438584,0.0003496657,0.0001867972,0.00005883717,0.001220073,0.9927754],"genre_scores_gemma":[0.0007506039,0.000427576,0.003972005,0.00003495208,0.0006320173,0.000001391694,0.00003044248,0.0001870036,0.993964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01755343,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270226750614059,"score_gpt":0.2558652243177912,"score_spread":0.2331629568116506,"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."}}