{"id":"W7098805167","doi":"","title":"YouTube Based Learning","year":2015,"lang":"en","type":"article","venue":"","topic":"Planarian Biology and Electrostimulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Quarter (Canadian coin); Upload; Download; Population; Internet users","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":[0.0005850418,0.001281778,0.0008750448,0.003249585,0.001163748,0.001978899,0.001238332,0.00145395,0.1336735],"category_scores_gemma":[0.003310046,0.0002074427,0.0004872729,0.00364593,0.0003160525,0.002986903,0.002191642,0.001151304,0.08644982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009317106,"about_ca_system_score_gemma":0.001222887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284573,"about_ca_topic_score_gemma":0.05012427,"domain_scores_codex":[0.9994292,0.00008274068,0.0000540222,0.00008285446,0.0002294498,0.0001217836],"domain_scores_gemma":[0.9989094,0.0001703534,0.00008466175,0.0001723366,0.0004394618,0.0002238907],"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":[0.0001094414,0.00002244231,0.0004070487,0.0004960945,0.00001437645,0.0001668196,0.000101328,0.0001406501,0.000348709,0.001623876,0.9646212,0.03194803],"study_design_scores_gemma":[0.00006748381,0.00004727701,0.003701384,0.0003856375,0.0000140493,0.0001634228,0.0002306924,0.001652979,0.0007683654,0.004138561,0.9887716,0.00005859998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006846669,0.005842713,0.006442781,0.003580832,0.004042128,0.001345918,0.5641418,0.03897189,0.3687853],"genre_scores_gemma":[0.02880474,0.005491034,0.01453134,0.00308636,0.001043121,0.001547102,0.6836454,0.005349207,0.2565016],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1336735,"threshold_uncertainty_score":0.4471825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823219652543402,"score_gpt":0.24429128200138,"score_spread":0.226059085475946,"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."}}