{"id":"W7115588320","doi":"10.21966/nwg7-fe05","title":"Spatial extent of surface canopy kelp derived from fixed-wing surveys (2025), North Coast, British Columbia, Canada","year":2025,"lang":"","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kelp; Kelp forest; Ecosystem; Distribution (mathematics); Marine ecosystem; Climate change; Marine protected area; Spatial distribution","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":[0.0003797221,0.0003735413,0.0002665101,0.002230135,0.001670387,0.001234968,0.001157185,0.0003163705,0.005089315],"category_scores_gemma":[0.001302664,0.0002755215,0.0003448073,0.005257794,0.0003710453,0.0003348863,0.0006346239,0.0004752473,0.001068932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01364485,"about_ca_system_score_gemma":0.01900136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977793,"about_ca_topic_score_gemma":0.9991216,"domain_scores_codex":[0.9995582,0.00001938988,0.00003792519,0.00009978844,0.0001608546,0.0001238811],"domain_scores_gemma":[0.9974555,0.00008768545,0.0001863192,0.00006139649,0.001785795,0.0004232397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008360301,0.00003391243,0.9382053,0.0002080023,0.0001088255,0.0001869656,0.001130469,0.0005526203,0.0008220841,0.0002587351,0.03860896,0.01980053],"study_design_scores_gemma":[0.000003746062,0.000004317559,0.9938583,0.00008194643,0.00001433808,0.00003708227,0.001103842,0.000223964,0.00006375035,0.00001368068,0.004586925,0.000008039115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7746817,0.002258754,0.0006195453,0.0006697699,0.0000648645,0.0001271313,0.1982104,0.0001356138,0.02323221],"genre_scores_gemma":[0.9266441,0.001314766,0.001148074,0.0002761031,0.00001096937,0.00009295771,0.05778657,0.00003712818,0.01268941],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01364485,"threshold_uncertainty_score":0.09900081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381347153691836,"score_gpt":0.224273325147171,"score_spread":0.2104598536102527,"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."}}