{"id":"W47214470","doi":"10.1007/978-0-387-76450-4_9","title":"Characteristics and Potentials of YouTube: A Measurement Study","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001846076,0.0002381688,0.0002497156,0.004540681,0.001294779,0.001537132,0.0006241038,0.0005744738,0.002500708],"category_scores_gemma":[0.0161776,0.0002171822,0.000325188,0.005895452,0.0006435574,0.003384116,0.001562022,0.0006066574,0.000919346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487392,"about_ca_system_score_gemma":0.0009676597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142428,"about_ca_topic_score_gemma":0.02959462,"domain_scores_codex":[0.9983209,0.0005991341,0.0001880877,0.0001463233,0.0005970351,0.0001485143],"domain_scores_gemma":[0.9818084,0.008709262,0.003488323,0.0005640914,0.003773445,0.001656567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001040632,0.0002222227,0.9818387,0.00005125267,0.00003735922,0.00007783361,0.003710786,0.00009188805,0.0004184127,0.0006277025,0.0006456921,0.01217412],"study_design_scores_gemma":[0.000003058723,0.0001487448,0.991983,0.00002887619,0.00001760393,0.0001574481,0.005665453,0.000537805,0.000304083,0.0001910464,0.0009521995,0.00001079235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920937,0.0001472661,0.0003135969,0.00006751362,0.000006399511,0.0001350913,0.001467928,0.000005632725,0.005762731],"genre_scores_gemma":[0.993935,0.0002003762,0.0008756391,0.00003604314,0.00001711648,0.0002913591,0.002130496,0.00001394121,0.002500005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142428,"threshold_uncertainty_score":0.02831978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06218910714737498,"score_gpt":0.2738668567104846,"score_spread":0.2116777495631096,"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."}}