{"id":"W2528943679","doi":"10.7567/jjap.55.1102a8","title":"Soft matter physics: Tools and mechanical models for living cellular aggregates","year":2016,"lang":"en","type":"article","venue":"Japanese Journal of Applied Physics","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Université de Lorraine","keywords":"Living matter; Active matter; Soft matter; Elasticity (physics); Pipette; Nanotechnology; Mechanics; Soft materials; Physics; Living systems; Biophysics; Classical mechanics; Statistical physics; Biological system; Materials science; Chemistry; Computer science; Biology; Thermodynamics; Artificial intelligence","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":[0.0004178094,0.0008594111,0.0006165883,0.00184708,0.0006942526,0.001585267,0.001220502,0.002081464,0.00343971],"category_scores_gemma":[0.0009389638,0.0003745661,0.0009456042,0.0006852549,0.00220082,0.002026605,0.001757253,0.001250024,0.001086177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007782981,"about_ca_system_score_gemma":0.0003981969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207325,"about_ca_topic_score_gemma":0.0005171864,"domain_scores_codex":[0.9997814,0.00007100228,0.00001056771,0.00003879666,0.00007716572,0.00002111121],"domain_scores_gemma":[0.9996036,0.0001410768,0.00009231146,0.00005890729,0.00004823396,0.00005587047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009097751,0.00005446213,0.0002187558,0.00006914307,0.00001505484,0.000172626,0.0001247974,0.1016706,0.004902991,0.8873788,0.001448995,0.003934656],"study_design_scores_gemma":[0.000009347224,0.00001982305,0.0001852418,0.0000143447,0.000004951909,0.00007376377,0.0000338208,0.655069,0.0004492413,0.3399231,0.004204597,0.00001277484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0687236,0.005167263,0.8449984,0.003359431,0.000884544,0.0001830099,0.0003514097,0.0005044977,0.07582772],"genre_scores_gemma":[0.8323606,0.004741902,0.121165,0.0007964598,0.001074858,0.0006693158,0.0002571773,0.0003087861,0.03862587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00343971,"threshold_uncertainty_score":0.01150703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535795402789111,"score_gpt":0.2296133274773953,"score_spread":0.2142553734495042,"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."}}