{"id":"W6946326937","doi":"10.3389/fmars.2022.873608.s001","title":"DataSheet_1_Biodiversity of coastal epibenthic macrofauna in Eastern Canadian Arctic: Baseline mapping for management and conservation.pdf","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benthic zone; Species richness; Bay; Biodiversity; Habitat; Ecosystem; Assemblage (archaeology); Invertebrate; Beta diversity; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007300197,0.0007893528,0.0004354776,0.007083958,0.00197384,0.001588794,0.001470356,0.0004140104,0.04413149],"category_scores_gemma":[0.002228968,0.0005365579,0.000627752,0.01273766,0.0003536371,0.0008394423,0.0007218324,0.0005082175,0.008673735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01206926,"about_ca_system_score_gemma":0.02130327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871104,"about_ca_topic_score_gemma":0.9929649,"domain_scores_codex":[0.9994361,0.00001426505,0.00004396824,0.00005865963,0.000326654,0.0001203181],"domain_scores_gemma":[0.9941524,0.0001712347,0.0002034612,0.0001447555,0.004843087,0.0004850069],"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":[0.0001480756,0.00008157837,0.1013086,0.001252506,0.00007493859,0.0001370823,0.0005314132,0.0009279928,0.001030452,0.0005776311,0.7693237,0.124606],"study_design_scores_gemma":[0.00005445304,0.00003451545,0.621622,0.0005035836,0.00004700081,0.000109519,0.0006108909,0.0007345179,0.000646423,0.0001931145,0.375376,0.00006804249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01376803,0.0009242133,0.0006271143,0.0003257841,0.00009726813,0.0002921239,0.9566193,0.0006227057,0.02672354],"genre_scores_gemma":[0.05696211,0.00335942,0.01036446,0.0003185263,0.00006504334,0.0006079806,0.8855154,0.0004873003,0.0423198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04413149,"threshold_uncertainty_score":0.1476345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06038381135687682,"score_gpt":0.2461343775388443,"score_spread":0.1857505661819675,"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."}}