{"id":"W7103183847","doi":"10.21966/m93t-4181","title":"Spatial extent of surface canopy kelp derived from fixed-wing surveys (2024), North Coast, British Columbia, Canada","year":2024,"lang":"","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kelp; Kelp forest; Canopy; Aerial photography; Aerial survey; Satellite imagery","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002603865,0.002927699,0.005582483,0.0004147507,0.001643112,0.003754425,0.004499002,0.001670561,0.009916974],"category_scores_gemma":[0.001353187,0.005354206,0.001099616,0.003276489,0.002487008,0.001331092,0.003647,0.00477728,0.006534971],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006547132,"about_ca_system_score_gemma":0.05103518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999496,"about_ca_topic_score_gemma":0.999999,"domain_scores_codex":[0.9766223,0.00280722,0.005530301,0.005598289,0.005600603,0.003841333],"domain_scores_gemma":[0.9869444,0.0007851505,0.003063525,0.004920621,0.001943888,0.002342461],"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":[0.0001394595,0.0006991994,0.04659719,0.0020617,0.003787055,0.01804933,0.0001648041,0.005080481,0.0006758532,4.388787e-7,0.9195854,0.003159067],"study_design_scores_gemma":[0.002939237,0.0002313576,0.1705687,0.006364645,0.003074988,0.0002626466,0.0001724781,0.00087706,0.0002119391,0.00001078585,0.8110968,0.004189422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3890567,0.003630424,0.0001502671,0.00003183289,0.02684771,0.002075363,0.5779669,0.0001641575,0.00007665807],"genre_scores_gemma":[0.2284745,0.001916179,0.0004403116,0.0001951898,0.001703739,0.0001392104,0.7640974,0.0007744046,0.002259056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1861305,"threshold_uncertainty_score":0.9996566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446248533327434,"score_gpt":0.2215081492641642,"score_spread":0.2070456639308898,"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."}}