{"id":"W4285596530","doi":"10.3390/land11071083","title":"An International Library for Land Cover Legends: The Land Cover Legend Registry","year":2022,"lang":"en","type":"article","venue":"Land","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Land cover; Cover (algebra); Interoperability; Land information system; Sustainability; Documentation; Variety (cybernetics); Land use; Environmental resource management; Harmonization; Geography; Land management; Computer science; World Wide Web; Engineering; Environmental science; Ecology; Civil engineering","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":[0.00631525,0.001705835,0.001754118,0.01526526,0.002395094,0.01081312,0.003233203,0.002191992,0.2288842],"category_scores_gemma":[0.02275019,0.001087582,0.001028545,0.02506821,0.001361598,0.01344406,0.007930922,0.004220673,0.2957065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516625,"about_ca_system_score_gemma":0.006541889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004271926,"about_ca_topic_score_gemma":0.00390365,"domain_scores_codex":[0.9963804,0.0006679739,0.0008512862,0.0004820177,0.001326435,0.0002919473],"domain_scores_gemma":[0.9800057,0.003105668,0.001670293,0.007174289,0.005936924,0.002107096],"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":[0.00004179633,0.0000544773,0.0005066997,0.0004450066,0.000007966925,0.0001146031,0.0002098784,0.0002780581,0.0007147745,0.01075437,0.8912335,0.09563895],"study_design_scores_gemma":[0.000009049386,0.00000780251,0.0003547915,0.0001332215,0.000002973126,0.00006637454,0.00006502653,0.0001433374,0.000236579,0.001146737,0.9978151,0.00001886761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002326697,0.002270211,0.1026113,0.005108612,0.009099234,0.002584281,0.3815647,0.08164407,0.412791],"genre_scores_gemma":[0.009834241,0.004985958,0.1436362,0.002964108,0.002659558,0.00262106,0.5728087,0.04102031,0.2194698],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2288842,"threshold_uncertainty_score":0.765694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028840481321016,"score_gpt":0.216693833691439,"score_spread":0.2064054288782288,"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."}}