{"id":"W2759057895","doi":"10.1039/c7mh00575j","title":"Colloidal nano-toolbox for molecularly regulated polymerization: chemorheology over 6 decades of viscoelasticity","year":2017,"lang":"en","type":"article","venue":"Materials Horizons","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Viscoelasticity; Polymerization; Toolbox; Colloid; Materials science; Monomer; Nanotechnology; Nano-; Chemistry; Polymer; Computer science; Organic chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009740174,0.00043177,0.0003772026,0.0004397564,0.0002312312,0.0008288967,0.0004647373,0.0007276522,0.001583748],"category_scores_gemma":[0.0006966169,0.0002913578,0.0002722148,0.0002033572,0.001103163,0.00115763,0.001009771,0.00169426,0.0006773465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006130388,"about_ca_system_score_gemma":0.0004521697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002706897,"about_ca_topic_score_gemma":0.0003487404,"domain_scores_codex":[0.9997922,0.00003111935,0.00001271328,0.00005814963,0.0000837639,0.00002210199],"domain_scores_gemma":[0.9996741,0.0001196492,0.0000267795,0.00004102348,0.00008258049,0.0000558597],"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":[0.00009663389,0.00008188411,0.0001686848,0.0008451003,0.00003457912,0.0001246395,0.0002813517,0.001911136,0.7854769,0.09345012,0.002337632,0.1151914],"study_design_scores_gemma":[0.00006728787,0.0003840859,0.0007789475,0.0003044684,0.0000420976,0.0003553474,0.00009901172,0.01126466,0.6799982,0.02526157,0.2813445,0.00009990016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2454721,0.2787697,0.401316,0.0115406,0.002176116,0.0002607146,0.0006085305,0.00243168,0.05742465],"genre_scores_gemma":[0.6778257,0.1043444,0.1800987,0.002812026,0.0008312495,0.0005565922,0.0003889588,0.0004033073,0.03273913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001583748,"threshold_uncertainty_score":0.005298197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00869278962938253,"score_gpt":0.2909911748619453,"score_spread":0.2822983852325628,"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."}}