{"id":"W4381848156","doi":"10.1111/faf.12772","title":"Advances in remote sensing of freshwater fish habitat: A systematic review to identify current approaches, strengths and challenges","year":2023,"lang":"en","type":"review","venue":"Fish and Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific; Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Habitat; Strengths and weaknesses; Remote sensing; Freshwater fish; Fish <Actinopterygii>; Key (lock); Systematic review; Environmental science; Computer science; Environmental resource management; Ecology; Data science; Geography; Fishery; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005941795,0.0003698302,0.00198068,0.0001020188,0.00009602248,0.00003250658,0.0001944766,0.0001223725,0.0000354131],"category_scores_gemma":[0.0004995377,0.0002899272,0.0001075875,0.0002757621,0.0002436962,0.0002330033,0.0007018566,0.0002088738,0.00002430502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004504455,"about_ca_system_score_gemma":0.000006822761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002436537,"about_ca_topic_score_gemma":0.02107405,"domain_scores_codex":[0.9979399,0.000226095,0.000760962,0.0005671087,0.0001934299,0.0003124487],"domain_scores_gemma":[0.9989749,0.0003316555,0.0003168546,0.0002980848,0.000007646913,0.00007082526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001543649,0.00001039535,0.00004808923,0.6496286,0.0000425182,0.000009070653,0.0002354447,1.241177e-7,2.780234e-9,0.000006109608,0.009778029,0.3402401],"study_design_scores_gemma":[0.00006743911,0.0000434964,0.0004386866,0.2434183,0.0004982279,0.000008061701,0.0002184489,0.000007252338,3.881315e-8,0.0001487274,0.7548615,0.0002897585],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001490889,0.9952022,0.000006661607,0.001107987,0.0001521387,0.00176874,0.00007109038,0.00003465645,0.001641586],"genre_scores_gemma":[0.000003290944,0.9992155,0.0002061152,0.0002513218,0.00001985889,0.00006946948,0.00003513269,0.00002690449,0.0001724208],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7450835,"threshold_uncertainty_score":0.9999553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07330614735492058,"score_gpt":0.3109171192460598,"score_spread":0.2376109718911392,"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."}}