{"id":"W6929743232","doi":"10.5064/f6buax58/t2pgwd","title":"Burke_EDI_NENA.ON007.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01064186,0.001781996,0.001961633,0.002159037,0.002013793,0.0006591048,0.01312711,0.001691381,0.001514426],"category_scores_gemma":[0.004911539,0.002009279,0.0004875035,0.002131088,0.004616105,0.00371128,0.009957831,0.003642073,0.02287919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002818105,"about_ca_system_score_gemma":0.002648126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02049894,"about_ca_topic_score_gemma":0.002210887,"domain_scores_codex":[0.9729903,0.01562606,0.001284046,0.004426156,0.003631638,0.002041843],"domain_scores_gemma":[0.9766608,0.004990834,0.002160255,0.01244114,0.002403222,0.001343765],"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":[0.001250474,0.0007804025,0.00001429588,0.0004602811,0.001960657,0.003492979,0.00409473,0.000001143659,0.0003318191,0.00009788612,0.9874879,0.00002748848],"study_design_scores_gemma":[0.001907547,0.000434848,0.00009405755,0.0004645804,0.0009966964,0.0001075869,0.01940211,0.00003154999,0.00008681576,0.00005327148,0.9742733,0.002147604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005048806,0.0003469326,0.00006520956,0.0001191824,0.003112388,0.001281946,0.9900784,0.0005457718,0.003945223],"genre_scores_gemma":[0.00003454105,0.000259681,0.00101933,0.00007468215,0.002209995,0.000006022311,0.9827611,0.0002476546,0.013387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02136477,"threshold_uncertainty_score":0.9996046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1766806561027597,"score_gpt":0.4128253313744831,"score_spread":0.2361446752717235,"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."}}