{"id":"W6884635905","doi":"10.11575/prism/48697","title":"HIGH-THROUGHPUT, OPTIMIZED PLATFORMS FOR 3D BIOPRINTING OF KIDNEY ORGANOIDS","year":2025,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Cumming School of Medicine, University of Calgary","keywords":"3D bioprinting; Decellularization; Induced pluripotent stem cell; Regenerative medicine; Biofabrication; Tissue engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004386528,0.0003257863,0.0003544978,0.0003155759,0.0001782009,0.0005786827,0.0003145096,0.0003696449,0.0007088698],"category_scores_gemma":[0.0005435098,0.0002837213,0.000457922,0.0002391461,0.0001741794,0.0004820746,0.000411757,0.0006192707,0.0004240941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005626721,"about_ca_system_score_gemma":0.0003901766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006157875,"about_ca_topic_score_gemma":0.001351932,"domain_scores_codex":[0.9997221,0.0000188708,0.00002411067,0.00007396218,0.0001348947,0.00002604923],"domain_scores_gemma":[0.9998424,0.00005227796,0.00003754478,0.00002443004,0.0000295933,0.00001375484],"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":[0.00003861407,0.00003050138,0.0003366889,0.00006747438,0.000007210374,0.00005255952,0.00005201937,0.01376768,0.9746957,0.0004615674,0.0001678714,0.01032215],"study_design_scores_gemma":[0.000006435871,0.0000595781,0.0006797269,0.000006558008,0.000008878734,0.00004789875,0.00001419334,0.06592175,0.9311106,0.0001522743,0.001975723,0.0000164793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6294704,0.0009404871,0.3636502,0.0001298092,0.00007111383,0.0001860208,0.0009275394,0.001913068,0.002711261],"genre_scores_gemma":[0.767513,0.0008194202,0.22861,0.0000357287,0.00001168878,0.0002339743,0.0007479242,0.0001649144,0.0018633],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007088698,"threshold_uncertainty_score":0.004082441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857489422747983,"score_gpt":0.3139616113646643,"score_spread":0.2853867171371845,"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."}}