{"id":"W6911108935","doi":"10.5061/dryad.jsxksn0g4","title":"Data from: Using camera traps to estimate habitat preferences and occupancy patterns of vertebrates in boreal wetlands","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université Laval","funders":"","keywords":"Wetland; Habitat; Occupancy; Boreal; Beaver; Taiga; Wetland conservation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005753663,0.0005479328,0.001127003,0.00048612,0.0000706774,0.0005224605,0.003217948,0.0002868465,0.0007067136],"category_scores_gemma":[0.000222647,0.000513342,0.00003181071,0.000535649,0.00009368489,0.0007419564,0.00343833,0.0004088407,0.003242404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006785867,"about_ca_system_score_gemma":0.0003819873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08725111,"about_ca_topic_score_gemma":0.4200155,"domain_scores_codex":[0.9966289,0.0002089242,0.0007810397,0.00140325,0.0004618193,0.0005160351],"domain_scores_gemma":[0.997103,0.0002732737,0.0004244577,0.001929926,0.00005835558,0.0002109851],"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":[0.0002033418,0.0001266091,0.04950283,0.0001078038,0.0001525262,0.0001357159,0.0001934517,0.0000115301,0.0002266927,5.744951e-8,0.944995,0.004344399],"study_design_scores_gemma":[0.003665849,0.0004703324,0.279871,0.006995648,0.001138245,0.00002382953,0.0008766774,0.005037936,0.0006401568,0.00006418533,0.6988403,0.002375832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2947955,0.00006330992,0.000001686132,0.00001271993,0.00013503,0.0006792414,0.7042706,0.00000279317,0.0000391226],"genre_scores_gemma":[0.003852393,0.00006444992,0.002036657,0.00001097422,0.00006253512,0.00003087757,0.9938248,0.00008912475,0.00002820415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3327643,"threshold_uncertainty_score":0.9997318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1663947292275525,"score_gpt":0.4060788153157078,"score_spread":0.2396840860881553,"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."}}