{"id":"W2121795229","doi":"10.1093/nar/gki485","title":"MovieMaker: a web server for rapid rendering of protein motions and interactions","year":2005,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Prairie; Genome Canada","keywords":"Computer science; Computer graphics (images); Animation; Protein Data Bank; Rendering (computer graphics); Protein Data Bank (RCSB PDB); Web server; Artificial intelligence; Protein structure; Biology; The Internet; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003284775,0.00007809326,0.00009636907,0.00008345218,0.0001427007,0.00002116959,0.0001311314,0.00009472639,0.00004242623],"category_scores_gemma":[0.0001631978,0.00007350396,0.00005437404,0.0001100441,0.0001256478,0.000008726653,0.0001583236,0.0001531482,0.000003248454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001881549,"about_ca_system_score_gemma":0.00007477643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000993572,"about_ca_topic_score_gemma":0.00008845843,"domain_scores_codex":[0.9991863,0.00005533113,0.0001493936,0.0002276532,0.0001495257,0.0002317474],"domain_scores_gemma":[0.9994366,0.00001508802,0.00003224245,0.0002773629,0.0001723179,0.0000663582],"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":[0.00007493073,0.00004200443,0.0001626008,0.00006510439,0.00003707954,3.803246e-7,0.0000724542,0.00002113702,0.9580558,0.001088068,0.0007274647,0.03965296],"study_design_scores_gemma":[0.001812873,0.001015075,0.003246594,0.0001047351,0.00002059184,0.00004303467,0.0004705733,0.007550239,0.6465106,0.002222026,0.336652,0.0003516595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994048,0.000602436,0.001982405,0.0006976825,0.00002550368,0.0005558101,0.00004497198,0.00001003671,0.002033135],"genre_scores_gemma":[0.9904943,0.000112563,0.007491458,0.00003149639,0.0001721233,0.000115608,0.00002998072,0.00001814334,0.001534328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3359245,"threshold_uncertainty_score":0.2997404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238649550534923,"score_gpt":0.3381657115656846,"score_spread":0.3057792160603354,"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."}}