{"id":"W7161968738","doi":"10.82308/19777","title":"Participatory science and development of innovative tools to improve conservation of threatened bats","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizen science; Threatened species; Nature Conservation; Biodiversity conservation; Wildlife conservation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02617523,0.0009508029,0.0008318076,0.002960494,0.003774723,0.00823981,0.002920795,0.002651301,0.01502874],"category_scores_gemma":[0.02722006,0.0005046122,0.001285831,0.002014367,0.01049694,0.005821726,0.01017085,0.002677011,0.001734178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003503505,"about_ca_system_score_gemma":0.009239659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159067,"about_ca_topic_score_gemma":0.003595568,"domain_scores_codex":[0.9727665,0.02106623,0.0005836414,0.001868838,0.002982361,0.0007324295],"domain_scores_gemma":[0.9713183,0.020579,0.001572476,0.00379637,0.001727723,0.001006228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001218482,0.0006639662,0.004078895,0.004466297,0.0002313813,0.0005605152,0.02672357,0.004216533,0.007827987,0.4636368,0.01478608,0.4726861],"study_design_scores_gemma":[0.0001604496,0.0006620456,0.003541606,0.003680538,0.0001639502,0.000530206,0.01940402,0.005407204,0.005290778,0.5022575,0.4588107,0.00009110957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05637671,0.01570765,0.5660635,0.03516365,0.001925368,0.003198719,0.0005234104,0.0007603632,0.3202807],"genre_scores_gemma":[0.4615669,0.01476127,0.4791693,0.00459667,0.0004332087,0.00526001,0.0003595559,0.0002150219,0.0336381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02617523,"threshold_uncertainty_score":0.1384295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08087025701912952,"score_gpt":0.2998501879919405,"score_spread":0.218979930972811,"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."}}