{"id":"W4387604996","doi":"10.1515/9789048555895-fm","title":"Frontmatter","year":2023,"lang":"en","type":"book-chapter","venue":"Amsterdam University Press eBooks","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Université de Lausanne; Université de Montréal; York University","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002502223,0.0007850631,0.0005516722,0.001498747,0.001060438,0.004517157,0.0008826295,0.001633986,0.8934374],"category_scores_gemma":[0.001037718,0.0003811013,0.000378943,0.001045284,0.0003739423,0.00317834,0.002331825,0.001402842,0.7886128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006578079,"about_ca_system_score_gemma":0.0004168703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020442,"about_ca_topic_score_gemma":0.003155878,"domain_scores_codex":[0.9997457,0.00002496107,0.00001043082,0.00007212222,0.0001074005,0.00003941388],"domain_scores_gemma":[0.9996301,0.00006397423,0.00002323831,0.00005755378,0.0001149801,0.0001101631],"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":[0.0000354668,0.00002737918,0.0001198085,0.0001423538,0.000002296965,0.00009162578,0.0001570051,0.00004997548,0.0006314483,0.01187858,0.8168905,0.1699736],"study_design_scores_gemma":[0.000002591453,0.000006517042,0.0001100067,0.00003439141,6.849308e-7,0.00006483644,0.00003286274,0.00002773239,0.0000787895,0.0005577771,0.9990819,0.000001915411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003391283,0.001103305,0.0007114183,0.0006709931,0.001209758,0.00003054764,0.0007613811,0.001007939,0.9941654],"genre_scores_gemma":[0.0008410967,0.0002972731,0.0001570383,0.0001580035,0.0001087992,0.000007704635,0.0002180598,0.0001812571,0.9980307],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8934374,"threshold_uncertainty_score":0.1519986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0498033662512108,"score_gpt":0.1915188181108842,"score_spread":0.1417154518596734,"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."}}