{"id":"W4380270419","doi":"10.1515/9780228009788-013","title":"Fading In and Fading Out: Negatives and Positives in the Photographic Afterlives of Ephemeral Site-Specific Installations by Martha Fleming &amp; Lyne Lapointe","year":2021,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Photography and Visual Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ephemeral key; Fading; False positive paradox; Psychology; Computer science; Computer security; Telecommunications; Channel (broadcasting); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008681428,0.0004010841,0.0002271917,0.000675321,0.004527273,0.004613775,0.0005132391,0.0008366415,0.01946369],"category_scores_gemma":[0.001433291,0.0003717857,0.000155605,0.001010092,0.00386292,0.002656434,0.001788916,0.002354925,0.003128228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00234261,"about_ca_system_score_gemma":0.001680683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03354482,"about_ca_topic_score_gemma":0.1437373,"domain_scores_codex":[0.9993338,0.0002086822,0.00001064757,0.00006200898,0.0002886003,0.00009617805],"domain_scores_gemma":[0.9994025,0.0002417563,0.00006031672,0.00005680267,0.0001659869,0.00007270709],"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":[0.00005635486,0.00003429622,0.002062652,0.000219694,0.000005730391,0.000971079,0.08949861,0.00009873472,0.002441489,0.06312361,0.6595291,0.1819586],"study_design_scores_gemma":[0.0000027876,0.00002287571,0.008108227,0.0003051273,0.00000578142,0.0007183265,0.02688626,0.00003153508,0.0005134252,0.001345307,0.9620471,0.00001321332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02957675,0.01282543,0.0007537814,0.00924322,0.001381159,0.00002403641,0.00009554582,0.0001153436,0.9459847],"genre_scores_gemma":[0.1827343,0.01039567,0.0009005281,0.001867903,0.0005018315,0.00001998486,0.00007427869,0.0002586047,0.8032469],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03354482,"threshold_uncertainty_score":0.06669915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990668972888757,"score_gpt":0.220044909750502,"score_spread":0.1901382200216145,"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."}}