{"id":"W2521376556","doi":"","title":"From \"Brief Eulogies for Lost Species\"","year":2016,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Evolution and Science Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000159724,0.0001318594,0.0001408164,0.0002420298,0.0007414109,0.0002014411,0.0004713458,0.00005210187,0.004440754],"category_scores_gemma":[0.0001296836,0.0001054055,0.0001127614,0.0001169288,0.0005174084,0.001191153,0.00009088817,0.0001106153,0.0003553247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156291,"about_ca_system_score_gemma":0.0001212291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001709778,"about_ca_topic_score_gemma":0.002427633,"domain_scores_codex":[0.9990709,0.00006833918,0.0001253766,0.000292161,0.0001670157,0.0002761917],"domain_scores_gemma":[0.9990158,0.0002343048,0.00007944683,0.0003506687,0.0001987766,0.0001210241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005412908,0.00007990161,0.00332662,0.000003639653,0.00003346952,0.000004527547,0.004307451,6.566891e-7,0.0008297905,0.8679886,0.1214348,0.001936367],"study_design_scores_gemma":[0.0005654992,0.00004617436,0.002542469,0.00002767599,0.00002553698,3.763504e-7,0.008013536,0.000005271584,0.0003693086,0.006157693,0.9820574,0.0001890873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4967182,0.0001114216,0.002135711,0.01739171,0.003049575,0.0004137937,0.00111391,0.0002585537,0.4788072],"genre_scores_gemma":[0.7260582,0.00002503612,0.0004149111,0.000266061,0.0005771169,0.000001615993,0.00003417068,0.00001325444,0.2726096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8618309,"threshold_uncertainty_score":0.9964693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.046558475674772,"score_gpt":0.2267397257738074,"score_spread":0.1801812500990354,"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."}}