{"id":"W2092451912","doi":"10.1039/c3sm52658e","title":"Controlled spreading of thermo-responsive droplets","year":2013,"lang":"en","type":"article","venue":"Soft Matter","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Substrate (aquarium); Polymer; Materials science; Polymer substrate; Chemical engineering; Chemical physics; Nanotechnology; Chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004294184,0.00009168558,0.0001999853,0.0000524186,0.0000145651,0.00001716331,0.00007062692,0.00004664935,0.002734187],"category_scores_gemma":[0.000004443317,0.00007560026,0.00006925531,0.00003808502,0.00001917601,0.00006430929,0.000007511668,0.00006826867,0.001117576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001219239,"about_ca_system_score_gemma":0.000004390349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000031142,"about_ca_topic_score_gemma":0.000004073716,"domain_scores_codex":[0.9995304,0.00001065014,0.0001612125,0.00007181727,0.00007004346,0.0001559151],"domain_scores_gemma":[0.9997227,0.00007098755,0.000006610665,0.0001313264,0.00003347898,0.0000349264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006818539,0.00003205535,0.006025644,0.0001722718,0.0002033909,0.000007521742,0.0008956818,0.002453002,0.9621679,0.001401682,0.02492966,0.00164297],"study_design_scores_gemma":[0.01424359,0.000169472,0.238906,0.0003310288,0.0002005999,0.00003942061,0.0002332398,0.6837867,0.04936212,0.006724972,0.004470341,0.001532527],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790282,0.0001170506,0.006519282,0.0003322543,0.0001680926,0.0002796749,0.000006622805,0.00007560475,0.01347317],"genre_scores_gemma":[0.9987937,0.000006875227,0.0001598411,0.0003071973,0.00002968673,0.00003844874,0.000002082645,0.00002842917,0.0006337846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9128058,"threshold_uncertainty_score":0.9996602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002887183280122358,"score_gpt":0.168271428331052,"score_spread":0.1653842450509297,"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."}}