{"id":"W2069353608","doi":"10.1016/j.porgcoat.2011.04.012","title":"Selection of coalescing solvents for coatings derived from polyurethane dispersions utilizing high throughput research methods","year":2011,"lang":"en","type":"article","venue":"Progress in Organic Coatings","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Materials science; Polyurethane; Throughput; Selection (genetic algorithm); Process engineering; Chemical engineering; Composite material; Nanotechnology; Computer science; Engineering; 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":[0.0007931915,0.0005698071,0.0004814367,0.0005423749,0.000507051,0.0009264492,0.0005123775,0.0003894457,0.0007933828],"category_scores_gemma":[0.001365471,0.0003324382,0.0003238098,0.000620132,0.0003401523,0.0008500018,0.0005336979,0.0005621805,0.0004083756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004313901,"about_ca_system_score_gemma":0.0004566442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004676645,"about_ca_topic_score_gemma":0.001494106,"domain_scores_codex":[0.9993252,0.0001123622,0.00007401648,0.0001390594,0.0002619854,0.00008752285],"domain_scores_gemma":[0.9993087,0.0002748234,0.0001569568,0.00006824733,0.0001360094,0.00005512199],"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":[0.0000594584,0.00001668463,0.0001019826,0.00004329137,0.000005845443,0.00003147148,0.00004448903,0.00008878874,0.997061,0.0001141852,0.00002902326,0.002403861],"study_design_scores_gemma":[0.000005314122,0.00003825194,0.000121554,0.00000148366,0.000005002211,0.00002202361,0.00001471994,0.0003709213,0.9990267,0.00001318302,0.0003763937,0.000004463432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621851,0.002694893,0.03299643,0.0001129247,0.0000467879,0.0001168268,0.0001532767,0.0002714041,0.001422331],"genre_scores_gemma":[0.9480792,0.002698511,0.04641996,0.00009238401,0.00003505381,0.0001156925,0.0003510753,0.0002161978,0.001992004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009264492,"threshold_uncertainty_score":0.004194856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07921979239760993,"score_gpt":0.4167970773741912,"score_spread":0.3375772849765812,"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."}}