{"id":"W6947999993","doi":"10.5064/f6buax58/e1vbh4","title":"Burke_EDI_NENA.VT004.ResearcherSurvey.2017.09.21.docx","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Identifier; Survey data collection; Plan (archaeology); Survey methodology; Identification (biology); Scale (ratio); Data collection","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"],"consensus_categories":[],"category_scores_codex":[0.001616654,0.000607871,0.0005731509,0.000254471,0.0005937034,0.0001238589,0.003274692,0.0009321406,0.00009278276],"category_scores_gemma":[0.0006106623,0.0006619026,0.0002273326,0.0002635408,0.001094142,0.00005277243,0.001764246,0.0007939118,0.0001931571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001710169,"about_ca_system_score_gemma":0.0007503998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003487362,"about_ca_topic_score_gemma":0.001132342,"domain_scores_codex":[0.9944084,0.002134146,0.0004480828,0.001700444,0.0006629236,0.000645959],"domain_scores_gemma":[0.9949407,0.0002780135,0.0004183464,0.00342992,0.0005688397,0.0003642113],"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":[0.0006123069,0.0002852631,0.00002774569,0.0001679877,0.0005881249,0.0002392884,0.0005523663,9.591889e-7,0.01129772,0.00000928381,0.9861671,0.00005184355],"study_design_scores_gemma":[0.0009269028,0.0004880746,0.00006038755,0.00009555216,0.0002188064,0.00002770034,0.002196968,0.00001009636,0.002207482,0.000009119785,0.9929757,0.000783245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004841958,0.0004164386,0.0003014755,0.00008046256,0.00163431,0.0003765476,0.9914542,0.00004045098,0.0008541349],"genre_scores_gemma":[0.0004539209,0.0008157712,0.0005671552,0.0001043155,0.001553602,0.000002026639,0.9913042,0.00005029265,0.005148691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009090235,"threshold_uncertainty_score":0.9995832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09291264141640598,"score_gpt":0.3494287994521814,"score_spread":0.2565161580357754,"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."}}