{"id":"W6910947499","doi":"10.5064/f6buax58/wfltww","title":"Burke_EDI_NENA.MA004.ResearcherSurvey.2017.09.24.rtf","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":[0.01022115,0.001782864,0.001966345,0.002138232,0.002015028,0.0005073127,0.012978,0.001719452,0.000923914],"category_scores_gemma":[0.005071398,0.001994975,0.0004934805,0.002075003,0.004570894,0.003519785,0.009601289,0.003740571,0.0205041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002792463,"about_ca_system_score_gemma":0.002671942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907055,"about_ca_topic_score_gemma":0.003379524,"domain_scores_codex":[0.9729156,0.01576355,0.001276203,0.004424545,0.003599584,0.002020557],"domain_scores_gemma":[0.9770332,0.004832467,0.002132379,0.01241322,0.002269577,0.001319157],"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":[0.001318356,0.0007710585,0.00001445009,0.0004770042,0.002014079,0.003358064,0.004954667,0.000001250284,0.00036147,0.00006826413,0.9866353,0.00002604456],"study_design_scores_gemma":[0.001969565,0.0004423384,0.0000838619,0.0004961996,0.0009836307,0.0001020257,0.01961124,0.00003122339,0.0001023485,0.00004864664,0.9739797,0.002149255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004749896,0.000387041,0.00006184953,0.0001521023,0.003966952,0.001301501,0.9903926,0.0005660721,0.002696896],"genre_scores_gemma":[0.00003234085,0.0003366224,0.001104992,0.00007893359,0.002196991,0.000006161651,0.9827372,0.0002538338,0.01325295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01958019,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2239727169013363,"score_gpt":0.4175785178581453,"score_spread":0.1936058009568089,"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."}}