{"id":"W4392297187","doi":"10.1242/dev.202748","title":"Transitions in development – an interview with Nika Shakiba","year":2024,"lang":"en","type":"article","venue":"Development","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Passion; Mentorship; Competition (biology); Career path; Repertoire; Ecology; Management; Medical education","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":[0.0008523795,0.0001518936,0.0002264052,0.0004162244,0.00007500138,0.00003655222,0.0001193467,0.00004577389,0.0004228387],"category_scores_gemma":[0.0000159642,0.0001013957,0.00002241281,0.000721541,0.00008411288,0.0001281811,0.00002782326,0.0002312968,0.0001710079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870613,"about_ca_system_score_gemma":0.001693653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000118089,"about_ca_topic_score_gemma":0.0004168209,"domain_scores_codex":[0.9983103,0.00003184935,0.0003129675,0.0003821667,0.0005776676,0.0003850918],"domain_scores_gemma":[0.9994208,0.00001884946,0.00001298892,0.0001715652,0.00007098243,0.0003048193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001307955,0.0005900214,0.006188795,0.00104199,0.0001390487,0.001991712,0.06492589,0.000005594043,0.002481625,0.0006312509,0.00178086,0.9200924],"study_design_scores_gemma":[0.00182123,0.0004553534,0.3009688,0.00449228,0.00003327676,0.0004102861,0.004383875,0.000359499,0.008954392,0.00003204558,0.6777095,0.0003795435],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751979,0.001659485,0.004006637,0.006914549,0.0002632421,0.0007483191,0.000001674779,0.0001891398,0.01101903],"genre_scores_gemma":[0.979359,0.00007306445,0.01563215,0.001279225,0.00006808586,0.0001656333,0.0000732086,0.00002323469,0.003326439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9197128,"threshold_uncertainty_score":0.4629787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06996320748409893,"score_gpt":0.3543800545991276,"score_spread":0.2844168471150287,"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."}}