{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001253582,0.0001419736,0.0001292005,0.00004211776,0.0001358277,0.00002767118,0.0002901688,0.0001688238,0.00004595672],"category_scores_gemma":[0.0001312188,0.0001254129,0.00008934626,0.0001210851,0.0001579323,0.000001699682,0.0002097858,0.0001246612,0.0002143063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001230524,"about_ca_system_score_gemma":0.0001302916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001666038,"about_ca_topic_score_gemma":0.000006060392,"domain_scores_codex":[0.9988877,0.00002768903,0.000188586,0.0002402008,0.0002689636,0.0003868879],"domain_scores_gemma":[0.9992045,0.000007659062,0.00003223187,0.0003698741,0.0000944811,0.0002912905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004676247,0.00006999607,0.0003170871,0.0000523872,0.00002020229,0.00003315155,0.0003876827,0.0001978779,0.974179,0.000003638472,0.02069961,0.003992576],"study_design_scores_gemma":[0.0003479251,0.0003153705,0.0003239943,0.000006519141,0.00000524197,0.00001908182,0.0000587916,0.0003445006,0.6829458,0.00002172975,0.315429,0.0001820942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979254,0.0007083807,0.009489342,0.0005751787,0.0001423252,0.0002282806,0.00001297199,0.00001508783,0.009574407],"genre_scores_gemma":[0.99032,0.0002693492,0.005246046,0.00181449,0.0001532457,0.00001152471,0.00007139596,0.00002106947,0.00209291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2947294,"threshold_uncertainty_score":0.5114189,"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."}}