{"id":"W7066002408","doi":"","title":"Examining spatial biases in the community science platform, iNaturalist, using British Columbia, Canada, as a case study","year":2023,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizen science; Species richness; Biodiversity; Transect; Spatial analysis; Spatial ecology; Taxonomic rank","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001348437,0.0001209662,0.0002479877,0.0002013874,0.00456746,0.0006370202,0.0004621624,0.00007873766,0.0001250323],"category_scores_gemma":[0.0003887222,0.0001702261,0.00003740598,0.0007613602,0.0002577596,0.0002805791,0.0001827175,0.002196469,0.000003183853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721537,"about_ca_system_score_gemma":0.001588405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987853,"about_ca_topic_score_gemma":0.991776,"domain_scores_codex":[0.997723,0.000621276,0.0001886352,0.0003046991,0.0007779447,0.0003844206],"domain_scores_gemma":[0.9969237,0.001924361,0.000191601,0.0002719825,0.0005589619,0.000129329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001794758,0.001209961,0.9064171,0.0002712765,0.0002357935,0.01290755,0.06818165,0.001046383,0.0005781902,0.00001702814,0.002248095,0.006707483],"study_design_scores_gemma":[0.0005097644,0.0004856896,0.2311602,0.0004608149,0.00004632999,0.0001427226,0.7654286,0.0008825077,0.00002709215,0.00002750085,0.0006274008,0.0002013878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957537,0.00001268572,0.000001420784,0.000003647053,0.0005570187,0.0003375259,0.00002511244,0.0000131177,0.003295749],"genre_scores_gemma":[0.9918931,0.000004899363,0.00001452214,0.000001164469,0.0001316749,0.000002442721,0.000107569,0.00001559717,0.007829036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.697247,"threshold_uncertainty_score":0.9967285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0570575288956699,"score_gpt":0.3127458994929558,"score_spread":0.2556883705972859,"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."}}