{"id":"W2608370715","doi":"10.1007/978-3-319-48042-8_1","title":"New Technologies of Gender: Women and Film in the Digital Era","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Movie theater; Globalization; Context (archaeology); Subject matter; The Internet; Subject (documents); Democracy; Political science; Digital media; Key (lock); Selection (genetic algorithm); Sociology; Media studies; Gender studies; Art; History; Visual arts; Computer science; Computer security; Law; World Wide Web; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054771,0.0005528945,0.0003209105,0.001347269,0.001570707,0.009331614,0.000494254,0.001709279,0.02544228],"category_scores_gemma":[0.003697596,0.0001940351,0.0001947617,0.00196381,0.006894775,0.00736691,0.001560474,0.001833699,0.00113956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107257,"about_ca_system_score_gemma":0.00105372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002775973,"about_ca_topic_score_gemma":0.004923468,"domain_scores_codex":[0.9991516,0.0004380142,0.00002374324,0.00009109062,0.000195079,0.0001005298],"domain_scores_gemma":[0.9978169,0.001671724,0.0001257583,0.00009082938,0.0001203343,0.0001744334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005721658,0.00004066611,0.001797051,0.0002885468,0.00001303357,0.0002120084,0.01631694,0.0001364037,0.0004589643,0.8488975,0.03658483,0.09519681],"study_design_scores_gemma":[0.00001033118,0.00004440053,0.004755912,0.0009755316,0.00001549514,0.0005286064,0.02105902,0.0003473479,0.0005185067,0.2707778,0.7009469,0.00002014453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03606661,0.1523919,0.004189378,0.03980387,0.001678806,0.00002179975,0.0002007065,0.00003831416,0.7656087],"genre_scores_gemma":[0.6689966,0.1110639,0.001288844,0.004086399,0.005800507,0.00004568952,0.0001217478,0.0001153377,0.2084809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02544228,"threshold_uncertainty_score":0.08511287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009743592828326,"score_gpt":0.1944148871107149,"score_spread":0.1643174511824317,"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."}}