{"id":"W6892383689","doi":"10.5064/f6buax58/se89au","title":"Burke_EDI_NENA.ON007.ResearcherSurvey.2017.09.22.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":[0.01071978,0.001767825,0.001952824,0.002155737,0.002008787,0.0006159851,0.01290401,0.001716063,0.001196406],"category_scores_gemma":[0.005125475,0.001994519,0.0004848026,0.002081848,0.004634223,0.003486203,0.009567201,0.00359,0.02055017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002773355,"about_ca_system_score_gemma":0.0026124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01979155,"about_ca_topic_score_gemma":0.002210795,"domain_scores_codex":[0.9729189,0.01581621,0.001272632,0.004386626,0.003588872,0.002016744],"domain_scores_gemma":[0.9768159,0.004999114,0.002137106,0.01233896,0.002377808,0.001331154],"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":[0.0012875,0.0007735496,0.0000140514,0.0004672233,0.002015037,0.003302186,0.004173037,0.000001160573,0.0003624486,0.00009483875,0.9874814,0.00002755716],"study_design_scores_gemma":[0.001927939,0.0004376281,0.00008994971,0.0004842519,0.0009765991,0.0001017297,0.02036037,0.00003295466,0.00008772709,0.00004876122,0.9733237,0.00212838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005161859,0.0003556287,0.00006860047,0.0001143133,0.003044045,0.001283796,0.990054,0.0005410817,0.004022353],"genre_scores_gemma":[0.00003464689,0.0002649504,0.001026737,0.00007368001,0.002215636,0.000005854971,0.9828619,0.0002476083,0.01326901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01935376,"threshold_uncertainty_score":0.9997166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1949264109377602,"score_gpt":0.4193889699287988,"score_spread":0.2244625589910386,"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."}}