{"id":"W6982297243","doi":"","title":"Hypoxie-sur-puce : du développement technologique aux applications biologiques","year":2023,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Tumor cells","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":[0.001048961,0.0008569313,0.000471069,0.0005955342,0.0003975358,0.001650234,0.0007195796,0.001202204,0.002424205],"category_scores_gemma":[0.0007974447,0.0005231585,0.0005398953,0.0005564073,0.0005886714,0.001247535,0.0007539956,0.001292278,0.001115887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006994162,"about_ca_system_score_gemma":0.0007107361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009398762,"about_ca_topic_score_gemma":0.000820643,"domain_scores_codex":[0.999285,0.0001589879,0.00002471149,0.0001915275,0.0002802106,0.00005962144],"domain_scores_gemma":[0.9994274,0.0001754392,0.00008093979,0.00008212601,0.0001458763,0.0000882711],"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":[0.00009700705,0.00007473303,0.0005216125,0.0004642506,0.00001721883,0.0001441326,0.0001240509,0.0007372865,0.9517479,0.00147195,0.000368593,0.04423121],"study_design_scores_gemma":[0.00002247953,0.001120563,0.003217594,0.0001087369,0.00004949681,0.0007523988,0.0001444416,0.003262174,0.9208677,0.0009687069,0.06944424,0.00004137333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5001568,0.08828171,0.3655766,0.00406058,0.001360667,0.00085074,0.0008729807,0.002295519,0.03654439],"genre_scores_gemma":[0.6305745,0.07576732,0.2446234,0.001684255,0.0004581372,0.0009332123,0.001066907,0.0003588859,0.04453334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002424205,"threshold_uncertainty_score":0.008109808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702408781423715,"score_gpt":0.2951431259288831,"score_spread":0.258119038114646,"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."}}