{"id":"W6948134493","doi":"10.48448/dyr7-mx22","title":"Q&A session 5","year":2021,"lang":"de","type":"other","venue":"Underline Science Inc.","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Session (web analytics); Training (meteorology); Attendance; Intervention (counseling)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000461992,0.0004470146,0.0003740657,0.0002080875,0.0003623176,0.0002111757,0.0009250592,0.0005989782,0.00246763],"category_scores_gemma":[0.0001536759,0.0004140816,0.0001645468,0.0005532824,0.001176014,0.000005904787,0.0003518199,0.0003491569,0.0002469563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007678937,"about_ca_system_score_gemma":0.001607707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008866163,"about_ca_topic_score_gemma":0.0001961751,"domain_scores_codex":[0.9969998,0.00007744524,0.0003861735,0.001270685,0.0005762003,0.000689699],"domain_scores_gemma":[0.998321,0.00001568671,0.0002007223,0.0008821395,0.0002796707,0.0003007608],"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":[0.00002231179,0.0002718181,0.0007060628,0.00009453607,0.00006253045,0.00002734592,0.0000489853,0.00004310293,0.9700637,0.0002582648,0.008610621,0.01979074],"study_design_scores_gemma":[0.0006723003,0.0002980886,0.0001699105,0.0003401427,0.00007392951,0.00002650044,0.0001219707,0.001631223,0.1572609,0.00007016978,0.8385563,0.0007785456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1157032,0.07815196,0.04688556,0.002589566,0.02828535,0.001956568,0.0003866607,0.0002034249,0.7258378],"genre_scores_gemma":[0.6212053,0.007057802,0.01645449,0.002436213,0.005866497,0.00002052855,0.002159434,0.0004276088,0.3443721],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8299457,"threshold_uncertainty_score":0.9998311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016036451877151,"score_gpt":0.2741752947455512,"score_spread":0.2540149302267797,"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."}}