{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006890548,0.0007563215,0.0008271261,0.002394817,0.001409601,0.00291668,0.001467781,0.000979514,0.8005641],"category_scores_gemma":[0.02894366,0.0008084748,0.0003823892,0.003384441,0.0004950511,0.00255809,0.00294593,0.001211454,0.6042717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591785,"about_ca_system_score_gemma":0.00281798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377013,"about_ca_topic_score_gemma":0.01669109,"domain_scores_codex":[0.9967374,0.001668658,0.0001570234,0.0003237227,0.0008126289,0.0003005296],"domain_scores_gemma":[0.984948,0.005740034,0.0005484379,0.002518701,0.00506556,0.00117937],"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":[0.00006741115,0.00007475909,0.0006471684,0.0001907817,0.000003919405,0.00001039577,0.0002906182,0.0000244287,0.00007053951,0.001728091,0.9321026,0.06478935],"study_design_scores_gemma":[0.00004469611,0.00004399708,0.003435484,0.0003289384,0.000003491704,0.00001857302,0.0005255025,0.0001422181,0.0001904531,0.001146762,0.9941067,0.00001326354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.004473817,0.0005535681,0.008167813,0.004899818,0.001188829,0.003359563,0.2465027,0.02094326,0.7099105],"genre_scores_gemma":[0.03460934,0.001092673,0.01269194,0.00357099,0.0002729645,0.01691264,0.1286561,0.01342619,0.7887672],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1994359,"threshold_uncertainty_score":0.2844711,"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."}}