{"id":"W4239486953","doi":"10.1242/jcs.244699","title":"First person – Alexander Kiepas","year":2020,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Selection (genetic algorithm); Library science; Art history; Cognitive science; Artificial intelligence; Computer science; Psychology; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005020085,0.001037168,0.0008391452,0.001670134,0.004500127,0.006156276,0.001102561,0.002538376,0.1836357],"category_scores_gemma":[0.03160246,0.0005520344,0.0004329983,0.0008046305,0.001962386,0.004723235,0.004887318,0.005447319,0.1333872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003375128,"about_ca_system_score_gemma":0.006411246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001856611,"about_ca_topic_score_gemma":0.002468939,"domain_scores_codex":[0.9905311,0.002274543,0.0003583578,0.001680711,0.004319197,0.0008360854],"domain_scores_gemma":[0.9666339,0.003820683,0.001729777,0.001765891,0.01348061,0.01256927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004199945,0.00003655935,0.0002691224,0.0000809681,0.00000437381,0.00027846,0.001458684,0.00004917516,0.0007275745,0.004811042,0.9628177,0.02942432],"study_design_scores_gemma":[0.000003990458,0.00001442963,0.0002460638,0.00007570541,0.000001336204,0.0005948199,0.001095743,0.00005598406,0.0002121519,0.001191458,0.9964928,0.00001556756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01479334,0.0189441,0.02502693,0.4825226,0.1376228,0.0005930509,0.003401588,0.005415848,0.3116797],"genre_scores_gemma":[0.07554301,0.004414559,0.00681609,0.09099106,0.007883989,0.0004463754,0.0005398076,0.002282528,0.8110826],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1836357,"threshold_uncertainty_score":0.6143227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137281344703349,"score_gpt":0.2642819867553912,"score_spread":0.2505538522850563,"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."}}