{"id":"W7116303810","doi":"10.14288/cl.vi261.199776","title":"To See and to Be Seen","year":2024,"lang":"en","type":"article","venue":"Open Collections","topic":"Literature and Cultural Memory","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; St. Jerome's University","funders":"","keywords":"Reflection (computer programming); Reading (process); Memoir; Natural (archaeology); George (robot)","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":[0.003015355,0.0006994035,0.0005551264,0.001010273,0.01820395,0.02081145,0.001704608,0.005318944,0.03969911],"category_scores_gemma":[0.01065584,0.0004169903,0.00061889,0.0008621735,0.03700756,0.02323826,0.0176232,0.01315573,0.01888275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003917876,"about_ca_system_score_gemma":0.006059632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00726493,"about_ca_topic_score_gemma":0.01129035,"domain_scores_codex":[0.9950558,0.001987022,0.00007964188,0.0007372058,0.001211136,0.0009293199],"domain_scores_gemma":[0.9965837,0.0006509569,0.00021248,0.0005067772,0.0007775665,0.001268392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000225186,0.00003249049,0.0004436446,0.00008954884,0.00001000107,0.0004932846,0.1901996,0.00005638179,0.0004334402,0.5655143,0.2140905,0.02861428],"study_design_scores_gemma":[0.000003884701,0.00000942405,0.00009731027,0.0001352588,0.000002775143,0.0001992675,0.06845425,0.00002175661,0.000120531,0.04982199,0.881122,0.00001159574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008620344,0.006049143,0.008758397,0.168842,0.0100134,0.00005929025,0.00008922907,0.0002149565,0.7973531],"genre_scores_gemma":[0.3008466,0.005265157,0.004132021,0.04023851,0.002666961,0.0001584618,0.0001665973,0.0005404878,0.6459851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03969911,"threshold_uncertainty_score":0.1328067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04236930734433365,"score_gpt":0.2678079728998511,"score_spread":0.2254386655555175,"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."}}