{"id":"W6948596175","doi":"10.5064/f6buax58/drdgls","title":"Burke_EDI_NENA.NY003ResearcherSurvey.2017.09.23.rtf","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Species Distribution and Climate Change","field":"Environmental Science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006089317,0.0009871272,0.000922091,0.002464683,0.001461767,0.002668069,0.001378265,0.001031089,0.8514818],"category_scores_gemma":[0.01989011,0.0008741349,0.0004019536,0.002955194,0.0005399485,0.002733098,0.003134588,0.001358345,0.6436026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585224,"about_ca_system_score_gemma":0.003092315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01399945,"about_ca_topic_score_gemma":0.01592127,"domain_scores_codex":[0.997232,0.001178689,0.0001403861,0.0003228339,0.0008180354,0.0003080673],"domain_scores_gemma":[0.9896305,0.003619224,0.0004286458,0.001845895,0.003535782,0.0009400353],"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":[0.00006723892,0.00009349803,0.0005451953,0.000194408,0.000003607392,0.00001200925,0.0002061807,0.00002400468,0.00009037759,0.001274461,0.928905,0.06858412],"study_design_scores_gemma":[0.0000338561,0.00003815353,0.003593785,0.0003024519,0.000002445465,0.0000164251,0.0004073453,0.0001456939,0.0002201457,0.0006360954,0.994591,0.0000125628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.004218279,0.0005558152,0.005585801,0.004211463,0.001215243,0.003059721,0.2502891,0.01429285,0.7165717],"genre_scores_gemma":[0.02079087,0.001035982,0.008502394,0.001819297,0.0002384321,0.01399415,0.1090761,0.007003387,0.8375393],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8514818,"threshold_uncertainty_score":0.2118431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1546771283071061,"score_gpt":0.3706604743162662,"score_spread":0.2159833460091601,"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."}}