{"id":"W6892171101","doi":"10.5064/f6buax58/g9owk7","title":"Burke_EDI_NENA.NY003.ResearcherSurvey.2017.09.23.pdf","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":[0.01015855,0.001724985,0.001890113,0.00202161,0.001991958,0.0005017726,0.01232556,0.001666065,0.002031823],"category_scores_gemma":[0.004620353,0.001959729,0.0004631017,0.002104032,0.004455864,0.003400083,0.00896497,0.003516709,0.07458157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002778946,"about_ca_system_score_gemma":0.002738229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01772965,"about_ca_topic_score_gemma":0.003575269,"domain_scores_codex":[0.9729184,0.01622275,0.001235208,0.004219427,0.00345639,0.001947852],"domain_scores_gemma":[0.9788426,0.004759956,0.002077325,0.0107437,0.002270089,0.001306396],"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":[0.001290601,0.0007111809,0.00001626541,0.0004545245,0.00193536,0.00333906,0.004487333,0.000001106029,0.000351935,0.00005698799,0.9873363,0.00001934788],"study_design_scores_gemma":[0.001908511,0.0003669385,0.00009551169,0.0004582006,0.000974397,0.0001069661,0.02034504,0.00002894753,0.0001059804,0.0000434855,0.9734815,0.00208457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004395829,0.0002729951,0.00005987131,0.0001099279,0.00304191,0.001275448,0.9895173,0.0004325104,0.004850463],"genre_scores_gemma":[0.00002326784,0.0002711732,0.00109169,0.00007601507,0.00201155,0.000005869485,0.9692731,0.0002129001,0.02703438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07254975,"threshold_uncertainty_score":0.99963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1789307511719951,"score_gpt":0.4094154649072785,"score_spread":0.2304847137352835,"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."}}