{"id":"W4367625677","doi":"10.29173/eureka28791","title":"Featuring Colleen St. Clair","year":2023,"lang":"en","type":"article","venue":"Eureka","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute","funders":"","keywords":"Wildlife; Engineering; Human animal; Library science; Geography; Computer science; Biology; Ecology; Forestry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001706075,0.0009010955,0.0005706406,0.001045135,0.002043659,0.003325505,0.0009237173,0.004382189,0.07576824],"category_scores_gemma":[0.009206077,0.0004000493,0.0004276808,0.0005151459,0.0007071701,0.002243384,0.002125696,0.007702021,0.04649757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372184,"about_ca_system_score_gemma":0.003352513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009007382,"about_ca_topic_score_gemma":0.0275436,"domain_scores_codex":[0.9988213,0.0002208273,0.00003762413,0.0002207597,0.0005413187,0.0001581765],"domain_scores_gemma":[0.993984,0.000770463,0.000162175,0.0001235385,0.002486166,0.002473585],"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":[0.000003788059,0.000005311996,0.00003260145,0.000009865881,5.20993e-7,0.00001980184,0.0000158508,0.000003838495,0.00001795874,0.0001197447,0.9954606,0.004310034],"study_design_scores_gemma":[0.000002905849,0.000008370772,0.0001706762,0.0000682523,0.000001469226,0.0001324268,0.00007640986,0.00001721513,0.00003551976,0.0001924613,0.9992888,0.000005430445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0007272894,0.02960525,0.0008935815,0.5529419,0.3113098,0.00008980046,0.0003690118,0.0004291182,0.1036343],"genre_scores_gemma":[0.006409823,0.01762137,0.000959316,0.2489702,0.0975939,0.000107314,0.0003615928,0.0004452064,0.6275314],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07576824,"threshold_uncertainty_score":0.25347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206129282776014,"score_gpt":0.2167270266710389,"score_spread":0.2046657338432788,"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."}}