{"id":"W6966882509","doi":"10.5064/f6buax58/smfmoi","title":"Burke_EDI_NENA.NH003.ResearcherSurvey.2017.09.24.docx","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"","field":"","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":[],"category_scores_codex":[0.009847652,0.000863786,0.0008471806,0.00279257,0.00150875,0.002782949,0.001654676,0.0009343463,0.7388598],"category_scores_gemma":[0.04727024,0.001004506,0.0004911038,0.004009465,0.0005637567,0.002651752,0.00263639,0.001449398,0.4202837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001884111,"about_ca_system_score_gemma":0.003771336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334487,"about_ca_topic_score_gemma":0.01671965,"domain_scores_codex":[0.9967178,0.001717162,0.0002696327,0.0002100851,0.0007202991,0.0003650615],"domain_scores_gemma":[0.9599509,0.01945244,0.00141259,0.004150952,0.01340893,0.001624174],"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":[0.00004821891,0.00005169939,0.0004611345,0.0003044854,0.000003240578,0.000008320837,0.0002661232,0.00002038013,0.00003138545,0.0006978565,0.9794704,0.01863667],"study_design_scores_gemma":[0.0001311585,0.0000652283,0.006715327,0.0005872924,0.000005704773,0.00001732771,0.001561978,0.0001364747,0.0002882364,0.001355227,0.9891096,0.00002658288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003747053,0.0001999784,0.004579565,0.003285914,0.001181702,0.008955445,0.7959853,0.01073848,0.1713265],"genre_scores_gemma":[0.03135747,0.0009428108,0.01893803,0.005794397,0.0005864861,0.1271944,0.4490067,0.01048118,0.3556986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7388598,"threshold_uncertainty_score":0.3724847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.200823052098011,"score_gpt":0.4105045110446057,"score_spread":0.2096814589465946,"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."}}