{"id":"W4399981657","doi":"10.1007/978-981-97-3218-0_10","title":"Exploring TikTok as the Everyday Cellphilm","year":2024,"lang":"en","type":"book-chapter","venue":"Studies in arts-based educational research","topic":"Digital Media and Philosophy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Psychology; Aesthetics; Art","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":[0.0008116381,0.0003255575,0.0002194377,0.001270572,0.007826382,0.0150698,0.001027724,0.001651079,0.01698213],"category_scores_gemma":[0.001540136,0.0001858263,0.000231758,0.001459306,0.01526308,0.009647492,0.004967456,0.002776351,0.001874889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004328472,"about_ca_system_score_gemma":0.002030677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004332004,"about_ca_topic_score_gemma":0.01397278,"domain_scores_codex":[0.9992732,0.0003346158,0.00001629729,0.00009239042,0.0001150934,0.0001683604],"domain_scores_gemma":[0.9993599,0.000299532,0.00004773281,0.00008416286,0.00006342776,0.0001452998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003239025,0.00001537572,0.0003795975,0.00003576378,0.00000169864,0.0002121683,0.07106335,0.00004248925,0.0002753909,0.9158603,0.004064084,0.008017437],"study_design_scores_gemma":[0.00002092273,0.00004465582,0.001376599,0.0003145731,0.00001358835,0.0007557848,0.2248058,0.0005016048,0.0006891024,0.2121895,0.559263,0.00002490591],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07574191,0.001822859,0.004842942,0.003652376,0.0005265235,0.00002384558,0.0000626314,0.00006334442,0.9132636],"genre_scores_gemma":[0.8676085,0.0009881598,0.001581683,0.0007428685,0.00009264401,0.00003198194,0.00005790397,0.0001542199,0.1287419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01698213,"threshold_uncertainty_score":0.05681092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6536366160685138,"score_gpt":0.4877839858241842,"score_spread":0.1658526302443296,"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."}}