{"id":"W4234408094","doi":"10.32920/ryerson.14652822.v1","title":"With Alice","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Alice (programming language); Portrait; Painting; Admiration; Art; Art history; Identity (music); Visual arts; Embodied cognition; Aesthetics; Literature; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002623709,0.00009090277,0.0001433317,0.00002452499,0.0001888807,0.0001704384,0.0001994443,0.0001455482,0.00144159],"category_scores_gemma":[0.00006845604,0.00007379699,0.00004828062,0.00009043497,0.0001070615,0.00004981094,0.0001460932,0.0002188743,0.00001697011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005876413,"about_ca_system_score_gemma":0.0008473449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018808,"about_ca_topic_score_gemma":0.01379251,"domain_scores_codex":[0.9989429,0.0001077315,0.00009215344,0.0002693257,0.0003764652,0.0002113892],"domain_scores_gemma":[0.9994957,0.00004639651,0.00004806009,0.0002046842,0.00008238605,0.0001228029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002872052,0.0002790107,0.0175556,0.0005212527,0.0004555978,0.0004024485,0.7457685,0.0005145438,0.0003194623,0.1073954,0.03091775,0.09584173],"study_design_scores_gemma":[0.0005600593,0.00003962946,0.004431314,0.0008674471,0.0001639462,0.000006656224,0.4141997,0.0001386568,0.001423255,0.006596228,0.5700189,0.001554264],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0579374,0.0003956662,0.004228813,0.001561334,0.0009518554,0.000153844,0.000001263066,0.0001126515,0.9346572],"genre_scores_gemma":[0.9318514,0.0005427019,0.008028592,0.001328571,0.001104711,0.00001400778,0.0000202978,0.00001671993,0.05709293],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8775643,"threshold_uncertainty_score":0.9994712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05417933737844731,"score_gpt":0.3436801274466013,"score_spread":0.2895007900681539,"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."}}