{"id":"W4385829585","doi":"10.17504/protocols.io.kxygx33pwg8j/v1","title":"origamiFISH (Cell Culture) v1","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workflow; Computer science; Protocol (science); Visualization; Complement (music); Computational biology; Software engineering; Nanotechnology; Chemistry; Biology; Data mining; Database; Materials science; Biochemistry","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":[0.00202102,0.003056886,0.002333823,0.002517357,0.002069199,0.002529887,0.004493633,0.002380309,0.1447421],"category_scores_gemma":[0.002448841,0.002588116,0.001809665,0.002278682,0.0007112965,0.00165699,0.002868132,0.004440919,0.2312195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072002,"about_ca_system_score_gemma":0.001431734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001811191,"about_ca_topic_score_gemma":0.004065824,"domain_scores_codex":[0.9977598,0.0002458538,0.0002908395,0.0006120202,0.0007690148,0.0003225298],"domain_scores_gemma":[0.9991028,0.0001559894,0.00004495567,0.0004402063,0.0001759861,0.00008007584],"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":[0.0006883721,0.0002277891,0.0003833412,0.002243132,0.0001020653,0.0003451695,0.0003668904,0.0006228072,0.5584883,0.01556496,0.3351778,0.08578932],"study_design_scores_gemma":[0.00008851545,0.00008952836,0.0005090413,0.0001243092,0.00003976712,0.0003144165,0.00002645439,0.0007043949,0.1605025,0.002208351,0.8353275,0.0000651616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01189457,0.007942161,0.430317,0.001637194,0.004529149,0.00586145,0.2638931,0.08021385,0.1937116],"genre_scores_gemma":[0.02934635,0.004753493,0.2473075,0.002389284,0.0004094753,0.01154149,0.4755822,0.02097317,0.2076971],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1447421,"threshold_uncertainty_score":0.4842106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017322152730061,"score_gpt":0.2233795825510505,"score_spread":0.2032063610237499,"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."}}