{"id":"W7078930824","doi":"10.5281/zenodo.17002980","title":"F I G U R E 4 in Application of telemetry-based fish habitat models to predict spatial habitat availability and inform ecological restoration","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Fisheries and Oceans Canada","funders":"","keywords":"Habitat; Restoration ecology; Fish habitat; Fish <Actinopterygii>; Variable (mathematics); Spatial ecology","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":[0.0002329301,0.0003568774,0.0001534531,0.0003201746,0.0001726902,0.0003350951,0.0005134675,0.0005052364,0.01766112],"category_scores_gemma":[0.0007929342,0.0001169954,0.000252112,0.0002090682,0.0001450677,0.0002725768,0.0002397719,0.0001414517,0.001677531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004376583,"about_ca_system_score_gemma":0.0003674456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06541077,"about_ca_topic_score_gemma":0.0740687,"domain_scores_codex":[0.9999504,0.00001280271,0.000001774352,0.00001864734,0.000009399455,0.000006914147],"domain_scores_gemma":[0.9998392,0.00008011575,0.00001211727,0.00002552924,0.00002766665,0.0000152877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002978598,0.0001398778,0.03026129,0.00003972835,0.00007150572,0.0002964978,0.00003620925,0.8598309,0.004407832,0.003071944,0.02701246,0.07453392],"study_design_scores_gemma":[0.00001819423,0.00001387528,0.002743255,0.000002670006,0.000004598137,0.00001546996,0.000005187149,0.9948241,0.000640766,0.0008126817,0.0009162217,0.000003040975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5402649,0.0002074834,0.4004384,0.0015421,0.000288575,0.000127739,0.007995287,0.01044286,0.03869257],"genre_scores_gemma":[0.9324872,0.00005938406,0.04974562,0.0001227749,0.00002594114,0.00005223351,0.001522923,0.0002917182,0.0156922],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06541077,"threshold_uncertainty_score":0.1300601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590988961188004,"score_gpt":0.2348143496063084,"score_spread":0.2089044599944284,"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."}}