{"id":"W4254467058","doi":"10.2307/4486607","title":"Inventing Entertainment: The Motion Pictures and Sound Recordings of the Edison Companies, http://memory.loc.gov/ammem/edhtml/. Created and maintained by the Motion Picture, Broadcasting, and Recorded Sound Division, Library of Congress, Washington, D.C. Reviewed June 15-18, 2006","year":2006,"lang":"en","type":"article","venue":"Journal of American History","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Sound (geography); Division (mathematics); Motion picture; Entertainment; Broadcasting (networking); Motion (physics); Telecommunications; Computer science; Art; Computer graphics (images); Visual arts; Acoustics; Artificial intelligence; Physics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005860768,0.0007538225,0.0004166472,0.003974642,0.0009678099,0.003874763,0.0005566165,0.001109208,0.5346353],"category_scores_gemma":[0.003511755,0.0003211912,0.0002226782,0.004404483,0.0005598916,0.003754026,0.001346138,0.001240376,0.2355248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270016,"about_ca_system_score_gemma":0.00125004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00768428,"about_ca_topic_score_gemma":0.02570308,"domain_scores_codex":[0.9995789,0.00005742288,0.00002949839,0.00004434994,0.0002381243,0.00005173086],"domain_scores_gemma":[0.9981589,0.0003335787,0.0001880787,0.000135715,0.0008875314,0.0002961669],"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":[0.000005796422,0.000004281144,0.00007420715,0.0001418002,0.000001141962,0.00002143414,0.00006662768,0.000008044558,0.00006326623,0.001020918,0.9674388,0.03115361],"study_design_scores_gemma":[0.000001592665,0.000005072411,0.0009442154,0.0001224499,0.000001663846,0.00002455747,0.000100856,0.000003874581,0.00006674349,0.0001215424,0.9986047,0.000002735277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001178621,0.03544822,0.0003893724,0.01731814,0.005824089,0.0001051833,0.00686573,0.0007291604,0.9321414],"genre_scores_gemma":[0.006262327,0.03186877,0.0004223234,0.002101078,0.00296459,0.000076079,0.002864085,0.0002956922,0.953145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5346353,"threshold_uncertainty_score":0.6637862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551532274456932,"score_gpt":0.2020856266054631,"score_spread":0.1865703038608937,"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."}}