{"id":"W4401716532","doi":"","title":"Hypoxia-on-chip : from technological developments to biological applications","year":2023,"lang":"en","type":"dissertation","venue":"theses.fr (ABES)","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Hypoxia (environmental); Chip; Computer science; Engineering; Biochemical engineering; Chemistry; Oxygen; Telecommunications; Organic chemistry","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":[0.001122947,0.0006634153,0.0004744342,0.0004826072,0.000207846,0.001053466,0.001013841,0.0008509135,0.002034166],"category_scores_gemma":[0.0005394033,0.0004966607,0.0003934165,0.0003634125,0.000387899,0.001104847,0.0008705753,0.001164441,0.001999494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004922319,"about_ca_system_score_gemma":0.0003644648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002804852,"about_ca_topic_score_gemma":0.0003539461,"domain_scores_codex":[0.9994267,0.00007632805,0.00002308825,0.0001230971,0.0002883576,0.00006247706],"domain_scores_gemma":[0.99972,0.00006481472,0.00002470566,0.00003904236,0.00009983735,0.00005160202],"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":[0.0002801807,0.0002122861,0.001110251,0.002753357,0.00009210058,0.0002591718,0.0002774428,0.002700176,0.588622,0.01802911,0.02053449,0.3651294],"study_design_scores_gemma":[0.00003304937,0.001102855,0.00241546,0.0003717987,0.00006914796,0.0008380551,0.0001064613,0.006974367,0.566132,0.003929628,0.4179303,0.00009682739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08140162,0.4598552,0.4031719,0.007649236,0.004116403,0.0007949514,0.001478384,0.003062177,0.03847012],"genre_scores_gemma":[0.2426291,0.2332585,0.4575388,0.003869776,0.001738641,0.001038558,0.001933096,0.0006399365,0.05735351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002034166,"threshold_uncertainty_score":0.006804943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0386716618816648,"score_gpt":0.2684334135316693,"score_spread":0.2297617516500045,"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."}}