{"id":"W1135359073","doi":"10.1021/acs.bioconjchem.5b00376","title":"Spheroid and Tissue Assembly via Click Chemistry in Microfluidic Flow","year":2015,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Microfluidics; Spheroid; Chemistry; Click chemistry; Tissue engineering; Cell; Nanotechnology; Biophysics; In vitro; Biomedical engineering; Combinatorial chemistry; Biochemistry; Biology; Materials science","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":[0.0003310902,0.0004355488,0.0002459149,0.0002879504,0.0002096495,0.0003261201,0.0002187368,0.0003078364,0.0007730309],"category_scores_gemma":[0.0001576843,0.0002253959,0.0002186716,0.0001902603,0.0002818733,0.0002969044,0.0003215644,0.0002934836,0.0003605947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003604347,"about_ca_system_score_gemma":0.0003075507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005915542,"about_ca_topic_score_gemma":0.001036039,"domain_scores_codex":[0.9997991,0.00003005126,0.00002128778,0.00005584506,0.0000613576,0.00003237667],"domain_scores_gemma":[0.9998996,0.00002773402,0.00003308424,0.00001070597,0.0000104682,0.00001830689],"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":[0.00001501079,0.00001184598,0.0000573067,0.0000250764,0.000002292082,0.00004707627,0.00002259767,0.0002583608,0.9973436,0.0004650916,0.0001556081,0.001596218],"study_design_scores_gemma":[0.00001127161,0.00008990129,0.0004357007,0.000002824105,0.000004526273,0.0001175562,0.000005305149,0.002885084,0.9924744,0.0001070653,0.00385834,0.00000811638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.838173,0.002451295,0.1480457,0.0003760986,0.0001958708,0.0003534245,0.0009257144,0.001760614,0.007718312],"genre_scores_gemma":[0.9213679,0.001315132,0.07125354,0.0001758108,0.00004400979,0.0002515198,0.000461362,0.00008705998,0.005043651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007730309,"threshold_uncertainty_score":0.002615094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722172605422288,"score_gpt":0.2544341090688298,"score_spread":0.2372123830146069,"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."}}