{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001345828,0.00007458925,0.0001861208,0.0001839997,0.00003773287,0.000007808343,0.0000626093,0.00003850334,0.0007847375],"category_scores_gemma":[0.00006625587,0.00008545283,0.00004041132,0.0001460435,0.00001969896,0.0001632364,0.00002686808,0.00009672202,0.001474342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004887583,"about_ca_system_score_gemma":0.000005462335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002076041,"about_ca_topic_score_gemma":0.0001150516,"domain_scores_codex":[0.9993735,0.00000320205,0.0002644901,0.0001852912,0.00001335794,0.0001601474],"domain_scores_gemma":[0.9996985,0.00002034259,0.00008883046,0.0001481242,0.00000952562,0.000034655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003117024,0.0001442998,0.9406562,0.0000411115,0.00003846213,0.00002208791,0.003523202,0.000002753795,0.0001183822,0.04594853,0.005966323,0.003507448],"study_design_scores_gemma":[0.0009540605,0.00006315304,0.7300578,0.00003254612,0.000005497325,0.00001210638,0.0007324656,0.0002800335,0.0004184536,0.007412465,0.2597315,0.0002998972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6818824,0.00171361,0.0007364519,0.0003279562,0.001475895,0.0001229446,0.00001364626,0.00004720754,0.3136799],"genre_scores_gemma":[0.9946043,0.0001691166,0.0003463394,0.0001688497,0.0001317456,0.00001590006,0.000003799739,0.00001120661,0.004548685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.312722,"threshold_uncertainty_score":0.9993031,"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."}}