{"id":"W4392729151","doi":"10.16995/intransition.11402","title":"Uncertain Presence","year":2021,"lang":"en","type":"article","venue":"[in]Transition","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":[0.0001475656,0.00006121138,0.0001778792,0.0001019648,0.00002284541,0.00001221505,0.00003939487,0.00004387561,0.0002126344],"category_scores_gemma":[0.00004883187,0.00007696922,0.00003944847,0.0002533319,0.00001849908,0.0001002777,0.000009334109,0.00008096243,0.0001261576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000486522,"about_ca_system_score_gemma":0.00001329895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002956007,"about_ca_topic_score_gemma":0.001347397,"domain_scores_codex":[0.9993543,0.000009509335,0.0002369047,0.0002167575,0.00002007981,0.0001624509],"domain_scores_gemma":[0.999782,0.00003505039,0.00003211862,0.0001130291,0.00001383203,0.00002395194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002336784,0.0019077,0.4937061,0.0009521969,0.0001500535,0.001819361,0.08048961,0.0150508,0.005721404,0.3721738,0.01406232,0.01373289],"study_design_scores_gemma":[0.007822053,0.0002212886,0.6207724,0.0005995428,0.00002252339,0.00008676081,0.008707677,0.02202354,0.005249787,0.2135973,0.1192573,0.001639918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539711,0.004955184,0.001868026,0.007184376,0.0005121097,0.000145868,0.00004971329,0.00002178001,0.03129188],"genre_scores_gemma":[0.9982505,0.0006501874,0.0001727041,0.0003202442,0.00006481302,0.00002221628,0.00002073353,0.000005925937,0.000492648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1585766,"threshold_uncertainty_score":0.3138714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250031320207818,"score_gpt":0.2279475291277148,"score_spread":0.1954472159256366,"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."}}