{"id":"W6963899795","doi":"10.21966/03pw-2190","title":"Time series of eelgrass (Zostera marina) meadow extent derived from drone surveys, Central Coast, British Columbia","year":2015,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zostera marina; Geospatial analysis; Aerial photography; Aerial survey; Drone; Polygon (computer graphics); Estuary; Underwater; Seagrass","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001505119,0.00107193,0.002548771,0.0002288902,0.0003542471,0.001340634,0.002045217,0.0011124,0.003557999],"category_scores_gemma":[0.0006506747,0.001769505,0.0004425496,0.0006751099,0.002045428,0.001497875,0.001526932,0.001185393,0.006189803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009311857,"about_ca_system_score_gemma":0.001884704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5607732,"about_ca_topic_score_gemma":0.8813264,"domain_scores_codex":[0.9917648,0.001217133,0.001588679,0.001733427,0.002053773,0.001642226],"domain_scores_gemma":[0.993911,0.0001072169,0.001449139,0.002529579,0.001077781,0.0009252992],"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":[0.000203497,0.000646757,0.001459156,0.0003071678,0.0008366065,0.001481583,0.00006255968,0.00005371833,0.0005685968,7.629234e-7,0.9931116,0.001268005],"study_design_scores_gemma":[0.002830815,0.0002390277,0.05289112,0.001224263,0.0006997035,0.000271875,0.00003755778,0.00001892029,0.00009565539,0.0000709267,0.9399813,0.001638794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0400137,0.0008663796,0.00003030472,0.00003170575,0.003346211,0.0014095,0.9537562,0.0003216974,0.0002242729],"genre_scores_gemma":[0.001168877,0.0004946079,0.0009127856,0.00008021096,0.0007293953,0.0001487208,0.9927981,0.000286646,0.003380591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3205533,"threshold_uncertainty_score":0.9996961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210184652797306,"score_gpt":0.2323580948206148,"score_spread":0.2102562482926417,"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."}}