{"id":"W6948587491","doi":"10.5064/f6buax58/cz5gwt","title":"Burke_EDI_NENA.VT004.ResearcherSurvey.2017.09.21.rtf","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":[0.00163621,0.0006037745,0.000571321,0.0002544005,0.0005911863,0.0001216804,0.003254195,0.0009484516,0.00007520332],"category_scores_gemma":[0.0006436928,0.000657286,0.0002260461,0.0002590805,0.001098197,0.00005172305,0.001753211,0.0007870402,0.0001754932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689892,"about_ca_system_score_gemma":0.0007445887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003392719,"about_ca_topic_score_gemma":0.001116719,"domain_scores_codex":[0.9944038,0.002161031,0.0004448862,0.001692164,0.0006588309,0.0006393092],"domain_scores_gemma":[0.9949627,0.0002794329,0.0004157867,0.003413931,0.00056622,0.0003619144],"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":[0.0006229276,0.0002830109,0.00002810468,0.0001731333,0.0006023101,0.0002268869,0.0005515075,9.713834e-7,0.01169124,0.000009034246,0.9857597,0.0000511629],"study_design_scores_gemma":[0.0009383959,0.0004875901,0.00005750246,0.0000991794,0.0002152742,0.00002614029,0.0022282,0.0000104802,0.002215888,0.000008697734,0.9929343,0.0007783609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004731663,0.0004251544,0.0003105381,0.00008013197,0.001621361,0.0003770045,0.9915313,0.0000401206,0.0008827184],"genre_scores_gemma":[0.0004316855,0.0008462596,0.0005698494,0.0001040125,0.001562619,0.000002008993,0.9912052,0.00005023791,0.005228186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009475356,"threshold_uncertainty_score":0.9995878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09909777144383775,"score_gpt":0.35253051820398,"score_spread":0.2534327467601423,"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."}}