{"id":"W6969581660","doi":"10.5683/sp/wkolt9","title":"KielstraArnottGunn_EcolApp","year":2017,"lang":"en","type":"dataset","venue":"Borealis","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Abundance (ecology); Ecosystem; Aquatic ecosystem; Period (music); Scale (ratio)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009944021,0.001544854,0.00116292,0.00315904,0.0007564257,0.002863027,0.002831116,0.001730019,0.1342075],"category_scores_gemma":[0.006579803,0.0007962544,0.0009709469,0.00545951,0.0004688641,0.002020135,0.002304779,0.001917773,0.1655914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286877,"about_ca_system_score_gemma":0.002167715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02095515,"about_ca_topic_score_gemma":0.03961305,"domain_scores_codex":[0.9991165,0.0001170059,0.0001105295,0.0002793462,0.0002196456,0.000156985],"domain_scores_gemma":[0.9984995,0.0003813462,0.0001709493,0.0003575467,0.0003560386,0.0002346595],"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":[0.0000376981,0.00001121188,0.0005620701,0.0003842023,0.0000136555,0.00001208973,0.00001857863,0.0001275166,0.00004836716,0.000485071,0.9964966,0.001802954],"study_design_scores_gemma":[0.0001562287,0.000008647879,0.002368521,0.0002217226,0.00001272216,0.00003125074,0.00005163424,0.0002841926,0.0001792199,0.001153649,0.9955117,0.00002057263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006944464,0.00003749675,0.00004836043,0.00005256263,0.00002023305,0.000006793166,0.9989135,0.0002606208,0.0005909708],"genre_scores_gemma":[0.0003343057,0.00004349824,0.0002145013,0.00003913437,0.000006153533,0.00005536542,0.9986558,0.0001172274,0.0005339131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1342075,"threshold_uncertainty_score":0.4489689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1609720505469295,"score_gpt":0.427563064521379,"score_spread":0.2665910139744496,"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."}}