{"id":"W2042279794","doi":"10.1111/j.1523-1739.2005.s02_4.x","title":"Conservation on the Right Track","year":2005,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada","funders":"","keywords":"Track (disk drive); Geography; Computer science","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":[0.001937401,0.001123933,0.00103111,0.001149391,0.005048112,0.01134599,0.001642231,0.006363522,0.3314116],"category_scores_gemma":[0.006407912,0.0005438015,0.0007037266,0.00108599,0.002850715,0.009208952,0.007148939,0.007647477,0.1791038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089469,"about_ca_system_score_gemma":0.005985914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112732,"about_ca_topic_score_gemma":0.02227583,"domain_scores_codex":[0.9974009,0.0003534541,0.0001059559,0.0006191859,0.0009717029,0.0005489226],"domain_scores_gemma":[0.9973549,0.0001992224,0.0001458421,0.0004008854,0.0008519814,0.001047115],"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":[0.00001668428,0.00002242229,0.0003325144,0.00005509257,0.000008012279,0.0000524209,0.000118311,0.00001885296,0.0001075801,0.01504395,0.9203185,0.06390568],"study_design_scores_gemma":[0.000003253039,0.000005406218,0.0001748561,0.0001071725,0.000002026854,0.00004240479,0.0001486673,0.000008812486,0.00002473135,0.002250534,0.9972282,0.000003882706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001117697,0.01123918,0.002123804,0.2337056,0.0687579,0.00008287636,0.001244338,0.001037698,0.6806908],"genre_scores_gemma":[0.01082833,0.007400268,0.003065196,0.07504647,0.005920384,0.00007870733,0.00127982,0.0007150771,0.8956658],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3314116,"threshold_uncertainty_score":0.9536602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04294231125818233,"score_gpt":0.2628893922621537,"score_spread":0.2199470810039714,"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."}}