{"id":"W293958162","doi":"","title":"Going Na'vi: Mastery in Avatar","year":2011,"lang":"en","type":"article","venue":"Cineaction!","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pleasure; Movie theater; Politics; Media studies; Conversation; Avatar; Sociology; Aesthetics; Narrative; Identity (music); Art; Art history; Literature; Psychology; Law; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001550553,0.0004798408,0.0002061045,0.0002991317,0.002939061,0.005322023,0.0008948539,0.001342018,0.03731361],"category_scores_gemma":[0.005942754,0.0002426619,0.0002252576,0.000155107,0.00193976,0.004977539,0.005308238,0.003347837,0.01043097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008992318,"about_ca_system_score_gemma":0.0005724023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001698105,"about_ca_topic_score_gemma":0.005017076,"domain_scores_codex":[0.998548,0.0008095827,0.00002346175,0.0001731956,0.0002465553,0.0001991951],"domain_scores_gemma":[0.9985056,0.0004039857,0.00007838091,0.00008702601,0.0001777175,0.0007473423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001714066,0.0002948208,0.004972787,0.0001883882,0.00001136067,0.001857877,0.4577404,0.0001761399,0.005952198,0.06851164,0.3411066,0.1190164],"study_design_scores_gemma":[0.00001194653,0.0001075285,0.0008440254,0.0001587163,0.000007069033,0.001560729,0.0742325,0.0004971719,0.001125599,0.006192682,0.9152396,0.00002238134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1428324,0.001506617,0.02176043,0.02957847,0.003086441,0.0001852492,0.0002159022,0.002204055,0.7986304],"genre_scores_gemma":[0.5310473,0.0009186355,0.009067234,0.005660254,0.0005062909,0.0001545611,0.0002947482,0.001251415,0.4510995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03731361,"threshold_uncertainty_score":0.1248265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08820436164674672,"score_gpt":0.2124459522914291,"score_spread":0.1242415906446824,"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."}}