{"id":"W1967836424","doi":"10.1177/1746847711406374","title":"Magic Lantern, Dark Precursor of Animation","year":2011,"lang":"en","type":"article","venue":"Animation","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Movie theater; Lantern; Animation; MAGIC (telescope); Art; Anime; Computer graphics (images); Aesthetics; Visual arts; Computer science; Physics; Artificial intelligence; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001320784,0.00005139434,0.0001422146,0.00008624417,0.00001922479,0.000005193198,0.00005369103,0.00002806153,0.0002437725],"category_scores_gemma":[0.00005883331,0.0000555972,0.00003498083,0.00006938957,0.0000176095,0.0001566846,0.00001538261,0.00002586773,0.0004475868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001474744,"about_ca_system_score_gemma":0.000003083765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001077399,"about_ca_topic_score_gemma":0.00002595684,"domain_scores_codex":[0.9995233,0.000004044977,0.0002689681,0.0001071446,0.00001858641,0.00007790443],"domain_scores_gemma":[0.9996471,0.00001137792,0.0002035827,0.00009612624,0.00002602439,0.00001580346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005993405,0.0002212874,0.2076459,0.0002185793,0.00008141728,0.000001559341,0.01376614,0.000001692506,0.00162887,0.760959,0.01137931,0.004036319],"study_design_scores_gemma":[0.0006993425,0.0002708205,0.8779871,0.00004978627,0.00001731626,0.000003409651,0.000340154,0.001078042,0.005894589,0.1004054,0.01301681,0.0002372693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7247195,0.0006861615,0.002770664,0.0001292618,0.0002276999,0.0001395644,0.00003480973,0.0000259106,0.2712664],"genre_scores_gemma":[0.9975817,0.0001324316,0.001282059,0.0000321286,0.00003314998,0.000007493195,0.00001314478,0.000006027995,0.0009119138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6703412,"threshold_uncertainty_score":0.5752972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864307632137897,"score_gpt":0.22590801782654,"score_spread":0.167264941505161,"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."}}