{"id":"W6948749620","doi":"10.5064/f6buax58/aej3jv","title":"Burke_EDI_NENA.VT001.ResearcherSurvey.2017.09.21.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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009961034,0.0008426476,0.0008047946,0.002795238,0.001441051,0.003156409,0.001576412,0.000900895,0.7084197],"category_scores_gemma":[0.05110285,0.001011782,0.0004725402,0.003795564,0.0005405606,0.002530828,0.002654144,0.001464739,0.4136728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879049,"about_ca_system_score_gemma":0.003625905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125774,"about_ca_topic_score_gemma":0.01452044,"domain_scores_codex":[0.9963761,0.001918182,0.0002746974,0.000236131,0.0008210449,0.0003739145],"domain_scores_gemma":[0.9605601,0.01899115,0.001444889,0.004444559,0.01296567,0.001593568],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000486641,0.0000556495,0.0005696142,0.000248354,0.000003466821,0.000008072778,0.0002948188,0.00002627917,0.00004146574,0.0009958514,0.974835,0.0228728],"study_design_scores_gemma":[0.0001145181,0.00007169849,0.006023832,0.0005412313,0.000005503238,0.00001659555,0.001353306,0.0001661038,0.0003276039,0.001687229,0.9896667,0.00002572387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005057321,0.0002342472,0.006931514,0.003618876,0.001368731,0.008832688,0.7658872,0.0151597,0.1929097],"genre_scores_gemma":[0.03784495,0.0008927129,0.02255586,0.004908149,0.0005230103,0.1055152,0.4424926,0.01389986,0.3713677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.990039,"threshold_uncertainty_score":0.4159038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1817124380185876,"score_gpt":0.4112979352854615,"score_spread":0.229585497266874,"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."}}