{"id":"W6931879906","doi":"10.5281/zenodo.7312462","title":"napops: Point Count Offsets for Population Sizes of North American Landbirds","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Case Reports and Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada","funders":"","keywords":"Population; Point (geometry); Population size; Population density","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004120125,0.00017338,0.0004656332,0.0002778341,0.000538205,0.00004913649,0.0002249386,0.00004752879,0.03105149],"category_scores_gemma":[0.0008339378,0.0001525062,0.0001073316,0.0003189385,0.0001762577,0.00002590339,0.0004284283,0.000231592,0.000181111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453088,"about_ca_system_score_gemma":0.000009810954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789609,"about_ca_topic_score_gemma":0.00001546424,"domain_scores_codex":[0.9982925,0.0001121135,0.000356045,0.0003669412,0.0006248325,0.0002475331],"domain_scores_gemma":[0.9987144,0.0000290258,0.0003924951,0.0003983609,0.000308987,0.0001566644],"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":[0.000145132,0.0001555485,0.0004062983,0.0005143521,0.0001906225,0.00003734394,0.0001843232,0.000001611098,0.00001493616,0.0002064114,0.9277979,0.07034553],"study_design_scores_gemma":[0.0005700626,0.000702291,0.01009387,0.00007895847,0.00009720631,0.0001078143,0.0001300185,0.00004079065,0.000004492394,0.00001136443,0.988021,0.0001421574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01812122,0.001236272,0.001032815,0.001796744,0.0004134343,0.00365659,0.003323894,0.001612135,0.9688069],"genre_scores_gemma":[0.504465,0.004166296,0.00183958,0.001361806,0.002514182,0.000002547925,0.07543877,0.02621135,0.3840004],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5848064,"threshold_uncertainty_score":0.9698343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910292416792481,"score_gpt":0.2743132000091402,"score_spread":0.2452102758412154,"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."}}