{"id":"W4230927362","doi":"10.3749/canmin.a00003","title":"The Young Scientist Award For 2015 To Gordon R. Osinski","year":2016,"lang":"en","type":"article","venue":"The Canadian Mineralogist","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003308273,0.0001296126,0.00007726059,0.0000348861,0.0006263112,0.00008346729,0.0005906575,0.00007832058,0.00000398102],"category_scores_gemma":[0.0002965115,0.00006529664,0.00005801568,0.00009435694,0.0004561549,0.000004120645,0.00006777414,0.00004493217,0.00002509668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612003,"about_ca_system_score_gemma":0.0002887127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0165616,"about_ca_topic_score_gemma":0.7380772,"domain_scores_codex":[0.9989938,0.00002972912,0.0001303885,0.0002809619,0.00008071271,0.0004844028],"domain_scores_gemma":[0.9990107,0.00002566886,0.00004022603,0.0005835244,0.0001248782,0.0002149893],"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":[0.00002601933,0.000002827164,0.000327529,0.000001397445,0.000007516725,0.000001514015,0.00001458123,0.00000221459,0.7287781,0.001674035,0.2649982,0.00416607],"study_design_scores_gemma":[0.0001367226,0.0001150551,0.0007612063,0.00001142495,0.000005507899,0.00001327747,0.00001625233,0.000003343175,0.1707239,0.0005440692,0.82752,0.000149262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2920222,0.00564149,0.3099756,0.3527894,0.006343539,0.0091081,0.003772626,0.0003064829,0.02004055],"genre_scores_gemma":[0.9569306,0.0001086592,0.009338222,0.002832585,0.0005389576,0.000286119,0.00006440475,0.00005074321,0.02984969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7215156,"threshold_uncertainty_score":0.9899872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009971730513508695,"score_gpt":0.2909962136071125,"score_spread":0.2810244830936038,"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."}}