{"id":"W6892236965","doi":"10.5064/f6buax58/3zntjn","title":"Burke_EDI_NENA.ON002.ResearcherSurvey.2017.09.22.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":[0.009417797,0.001012491,0.000969008,0.002901186,0.001387758,0.003517856,0.001672343,0.0009178091,0.7767119],"category_scores_gemma":[0.03929822,0.001048757,0.0005536824,0.003866174,0.0005834383,0.002931136,0.003098736,0.001460871,0.5075101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742974,"about_ca_system_score_gemma":0.003263851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008638639,"about_ca_topic_score_gemma":0.01116997,"domain_scores_codex":[0.9966441,0.001698722,0.0002517973,0.0002501854,0.000762091,0.0003932248],"domain_scores_gemma":[0.9678162,0.01446071,0.001224726,0.004444854,0.01036393,0.001689595],"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":[0.00005979037,0.00006616026,0.000580503,0.0003614431,0.000004326753,0.00001017649,0.0003124654,0.00002121924,0.00004493775,0.0009056391,0.9678096,0.02982374],"study_design_scores_gemma":[0.0001014022,0.00005913952,0.006161122,0.0006059021,0.000005211387,0.00001833289,0.001111491,0.0001117446,0.0002986749,0.001325145,0.990177,0.00002482745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003942805,0.0002968088,0.005220915,0.003290602,0.001371204,0.008072875,0.6987951,0.01569333,0.2633164],"genre_scores_gemma":[0.03588749,0.001238061,0.01795229,0.004792666,0.0006406608,0.08744252,0.4106804,0.01551007,0.4258558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7767119,"threshold_uncertainty_score":0.3184934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1773904219748198,"score_gpt":0.4114197645034274,"score_spread":0.2340293425286076,"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."}}