{"id":"W4221137604","doi":"10.1242/jcs.259841","title":"First person – Asmahan Abu-Arish","year":2022,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Library science; Cystic fibrosis; Pulmonary disease; Internal medicine; Genetics; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00141605,0.00005863913,0.0001598159,0.0002702042,0.0004233475,0.00004750523,0.0004370679,0.000009438545,0.0007139992],"category_scores_gemma":[0.000442394,0.00004557664,0.0000782499,0.0007934966,0.0002982578,0.0002811203,0.0001151492,0.0004061846,0.00001357633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003266993,"about_ca_system_score_gemma":0.0006561682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001191065,"about_ca_topic_score_gemma":0.000002300311,"domain_scores_codex":[0.9975552,0.00002696342,0.000200664,0.0001333496,0.001793985,0.0002898708],"domain_scores_gemma":[0.9990366,0.0001019867,0.0001868146,0.0001524878,0.0002301368,0.0002919651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006465475,0.0006118828,0.0120234,0.000129704,0.00001680655,0.0008544465,0.003125392,0.001937353,0.9438983,0.00009986311,0.02977386,0.0068825],"study_design_scores_gemma":[0.005379379,0.01206356,0.1102412,0.000276317,0.0001045942,0.006448451,0.01582658,0.009526818,0.1520436,0.0007803409,0.6868353,0.0004737966],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789309,0.0009575739,0.0004016371,0.004509905,0.0005964208,0.0001349335,0.000003277985,0.000009623863,0.01445575],"genre_scores_gemma":[0.9928601,0.00004757606,0.005199686,0.0001551283,0.0001274934,0.00000195868,1.923635e-7,0.000005568979,0.001602239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7918546,"threshold_uncertainty_score":0.781779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201641830242474,"score_gpt":0.3029606359831725,"score_spread":0.2827964529589251,"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."}}