{"id":"W2274130086","doi":"10.1039/c6ib90008a","title":"Thinking big by thinking small: advances in mechanobiology across the length scales","year":2016,"lang":"en","type":"article","venue":"Integrative Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mechanobiology; Data science; Range (aeronautics); Biology; Computational biology; Computer science; Cell biology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003725657,0.0006879324,0.0005636262,0.0009074109,0.001379228,0.004045301,0.00126661,0.002084275,0.004713794],"category_scores_gemma":[0.004359322,0.0003233567,0.0004696643,0.0008326633,0.00788733,0.0101148,0.002320735,0.005377516,0.001247898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219135,"about_ca_system_score_gemma":0.001951858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005698082,"about_ca_topic_score_gemma":0.001024857,"domain_scores_codex":[0.9991366,0.0002553115,0.000043254,0.0001404929,0.0003382714,0.00008611895],"domain_scores_gemma":[0.9960263,0.002769909,0.0002090674,0.0002518235,0.0002972547,0.0004456145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000146633,0.00009138883,0.0009182866,0.001870258,0.00006299081,0.0003496888,0.001523149,0.001329891,0.01794357,0.4406127,0.05497216,0.4801793],"study_design_scores_gemma":[0.00001818473,0.0001153659,0.001145371,0.0005615876,0.00003945674,0.0005523572,0.001103515,0.001946779,0.005934026,0.6884655,0.300037,0.00008090595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01743012,0.5890656,0.1366966,0.1985716,0.01739821,0.00006603836,0.0001482801,0.0007983966,0.03982506],"genre_scores_gemma":[0.2204841,0.5598077,0.1458098,0.03588039,0.02062058,0.0002103843,0.0001615037,0.0003979192,0.01662762],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004713794,"threshold_uncertainty_score":0.01970345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119140662665791,"score_gpt":0.2841458742376255,"score_spread":0.2729544676109676,"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."}}