{"id":"W6892242458","doi":"10.5064/f6buax58/mfxfeb","title":"Burke_EDI_NENA.QC003.ResearcherSurvey.2017.09.21.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":[0.01065722,0.00177486,0.001963236,0.00211842,0.002040468,0.0005178387,0.01290481,0.001713305,0.0009461002],"category_scores_gemma":[0.005451339,0.001999881,0.0004746309,0.002168406,0.004659577,0.003500986,0.009726189,0.00359078,0.02114428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002862282,"about_ca_system_score_gemma":0.002809925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031738,"about_ca_topic_score_gemma":0.003107731,"domain_scores_codex":[0.9724768,0.01622901,0.001269863,0.004414957,0.003589368,0.002020039],"domain_scores_gemma":[0.9768894,0.004734658,0.002146224,0.01242514,0.002470377,0.001334206],"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":[0.001319985,0.0007485767,0.00001435708,0.0004749354,0.002002444,0.003384694,0.00482703,0.000001238204,0.0003440471,0.00009113139,0.9867659,0.00002567814],"study_design_scores_gemma":[0.001937589,0.0004378227,0.0001033325,0.0004785573,0.0009730509,0.0001030171,0.01972513,0.00003463573,0.00009903083,0.00004359998,0.9739248,0.002139413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004975001,0.0003456576,0.00006561905,0.0001354638,0.003039552,0.001298949,0.9904488,0.0005344526,0.003634002],"genre_scores_gemma":[0.00003932446,0.0003300113,0.001080451,0.00007714829,0.002157472,0.000006112555,0.9839444,0.0002480993,0.01211703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02019818,"threshold_uncertainty_score":0.9999672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1983808439547169,"score_gpt":0.4165299241754186,"score_spread":0.2181490802207018,"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."}}