{"id":"W6948458267","doi":"10.5064/f6buax58/d6bile","title":"Burke_EDI_NENA.TransitionNarratives.2018.04.19.docx","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":"Transition (genetics); Narrative; Word (group theory); Minor (academic)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008401125,0.0005609034,0.0005241072,0.0001546106,0.001010382,0.0001159546,0.00252589,0.0004622923,0.04936453],"category_scores_gemma":[0.0002290708,0.0005981,0.0001665109,0.0005487073,0.001968892,0.001145073,0.001945594,0.0006046111,0.005778696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052943,"about_ca_system_score_gemma":0.0001259232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006818451,"about_ca_topic_score_gemma":0.003297224,"domain_scores_codex":[0.9953762,0.001227895,0.0004327081,0.00146528,0.0009368765,0.0005610868],"domain_scores_gemma":[0.9961461,0.0003371263,0.0005025454,0.00248769,0.00008926512,0.0004372623],"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":[0.0001235391,0.0002115094,0.00002245839,0.00006336474,0.0001301623,0.0002683381,0.003363644,6.172986e-7,0.0001903573,0.00006422115,0.9955508,0.00001102319],"study_design_scores_gemma":[0.0005326663,0.000139134,0.0004341836,0.00005568834,0.0001996948,0.00003166556,0.03125102,0.00000565891,0.00004204637,0.00002371642,0.9665971,0.0006873916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001086589,0.00005564412,0.0001065907,0.0003671641,0.001264703,0.000374637,0.9878559,0.0001166181,0.008772141],"genre_scores_gemma":[0.0001296033,0.0002492356,0.0001463939,0.0003160707,0.0003304097,0.000002802422,0.9939923,0.0000235371,0.004809667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04358584,"threshold_uncertainty_score":0.9997953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06754914407515568,"score_gpt":0.3164863983525563,"score_spread":0.2489372542774006,"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."}}