{"id":"W6968401064","doi":"10.5281/zenodo.1420537","title":"Generating Htt Knockdown Models","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Christian ministry; Acknowledgement; Gene knockdown; Foundation (evidence); Drug industry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001022218,0.0007646107,0.0009375468,0.0009722303,0.0009607761,0.001162137,0.001382254,0.001643845,0.01642811],"category_scores_gemma":[0.0008972394,0.0005477815,0.001129604,0.0007718888,0.0006046307,0.0005885939,0.0007983639,0.00289117,0.005937086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189168,"about_ca_system_score_gemma":0.0009079471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003768137,"about_ca_topic_score_gemma":0.006157571,"domain_scores_codex":[0.9993999,0.00007514082,0.00005734364,0.0001501168,0.0002444168,0.00007308766],"domain_scores_gemma":[0.9995971,0.00009890863,0.0000482342,0.0000963956,0.00008217615,0.00007715194],"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":[0.000709302,0.0003033149,0.001176248,0.0008058186,0.0001960954,0.001306393,0.0003188676,0.008407748,0.9225529,0.02318905,0.0207766,0.02025765],"study_design_scores_gemma":[0.0006711438,0.001082036,0.004487919,0.0002710187,0.0004341954,0.002752838,0.0002677663,0.04997342,0.6834716,0.007795743,0.2486584,0.0001341165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3670287,0.009639085,0.41279,0.003260115,0.00282332,0.004144352,0.1297188,0.007200214,0.06339537],"genre_scores_gemma":[0.7028713,0.006669346,0.1116713,0.001098011,0.0001693163,0.005132986,0.08226725,0.002583594,0.08753703],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01642811,"threshold_uncertainty_score":0.05495751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060841605120282,"score_gpt":0.2389928636756324,"score_spread":0.2183844476244295,"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."}}