{"id":"W6922933418","doi":"10.1371/journal.pone.0130849.g002","title":"Predicted relationships between probability of nest occurrence and six forest habitat variables included in the Field225 model (21 variables originally considered) for the Okanagan-East Kootenay Region of the Williamson’s sapsucker Area of Occupancy in British Columbia, 2006–2008.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nest (protein structural motif); Habitat; Variable (mathematics); Random variable; Point (geometry); Line (geometry); Point pattern analysis; Baseline (sea)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001407899,0.000155414,0.0004583781,0.00008894133,0.0002154566,0.00007545142,0.0008312319,0.000518823,0.0005585459],"category_scores_gemma":[0.01695462,0.0001266969,0.00007463589,0.0007484123,0.000406028,0.0001242654,0.0001418391,0.0004369455,3.592178e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006155528,"about_ca_system_score_gemma":0.0012445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02374859,"about_ca_topic_score_gemma":0.5056705,"domain_scores_codex":[0.9978709,0.0006080735,0.0005560657,0.0003211692,0.0003893381,0.0002544069],"domain_scores_gemma":[0.995427,0.002760833,0.0007712383,0.0005701383,0.0004331911,0.0000376403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000006434057,0.00008653036,0.3372141,0.0004672054,0.00002734822,5.426081e-7,0.002030976,0.0001114081,2.721931e-7,0.0007848928,0.6586071,0.0006631971],"study_design_scores_gemma":[0.001631356,0.0001752989,0.5018364,0.01767383,0.0002972267,0.000008396539,0.01520486,0.001317906,0.000005771292,0.1657804,0.2952523,0.0008163115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04032823,0.01071332,0.0009692496,0.007867239,0.0006723623,0.02122842,0.8574536,0.0003443506,0.06042324],"genre_scores_gemma":[0.9663004,0.0003997887,0.01157777,0.00009474668,0.0002553016,0.001930415,0.01130738,0.0001208639,0.008013295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9259722,"threshold_uncertainty_score":0.991326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1464000343766377,"score_gpt":0.3254221277745195,"score_spread":0.1790220933978818,"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."}}