{"id":"W1994179061","doi":"10.1016/j.cell.2008.06.013","title":"Molecular Movies… Coming to a Lecture near You","year":2008,"lang":"en","type":"article","venue":"Cell","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Biology; Animation; Entertainment; Data science; Software; Computer graphics (images); Multimedia; Computer science; Visual arts","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004027078,0.001030114,0.0004766519,0.0004528532,0.001057922,0.00134361,0.0008954505,0.001196808,0.4653455],"category_scores_gemma":[0.0008946455,0.0005062705,0.000641834,0.0003689985,0.0001921712,0.001086343,0.000683252,0.002577656,0.1739348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004537699,"about_ca_system_score_gemma":0.0003396966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938257,"about_ca_topic_score_gemma":0.006041964,"domain_scores_codex":[0.9999275,0.000005939248,0.000002065159,0.00001110542,0.00003092477,0.00002252878],"domain_scores_gemma":[0.9994906,0.0000612486,0.0000145977,0.00002525375,0.0001411596,0.0002670707],"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":[0.0001867876,0.0000346048,0.00008842235,0.00007862616,0.000006134455,0.00008344645,0.00001870787,0.0000862639,0.004963493,0.001114427,0.9762182,0.01712081],"study_design_scores_gemma":[0.0001090645,0.0001081107,0.001394369,0.00005441095,0.00001228433,0.0001790598,0.00004988703,0.0004190526,0.00175752,0.001121439,0.9947742,0.00002059507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01247518,0.01490837,0.03111472,0.06636804,0.1365399,0.001301353,0.05276217,0.02164751,0.6628828],"genre_scores_gemma":[0.01709049,0.005124346,0.01856404,0.01041695,0.009279735,0.0004622499,0.01193966,0.001596018,0.9255263],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4653455,"threshold_uncertainty_score":0.7626198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230734455969181,"score_gpt":0.2513897939883633,"score_spread":0.2390824494286714,"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."}}