{"id":"W6950339719","doi":"10.5683/sp2/plmjcn","title":"Remote Sensing Seagrasses in Cambodia: Comparing Sentinel-2 and Planetscope for detecting and monitoring seagrasses in Cambodia’s Koh Rong and Koh Sdach Archipelagos","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Seagrass; Archipelago; Context (archaeology); Satellite; High resolution","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":[0.0004881532,0.000387645,0.0002122032,0.0007349791,0.0002406475,0.0004921568,0.0003118517,0.0003605344,0.0007099647],"category_scores_gemma":[0.000643218,0.0001527973,0.0001951658,0.000543043,0.0002135055,0.0004691652,0.0003866641,0.0001873658,0.0001574826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005803558,"about_ca_system_score_gemma":0.0002945777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1019172,"about_ca_topic_score_gemma":0.1836533,"domain_scores_codex":[0.9998391,0.00002701933,0.00001490555,0.00005319947,0.00003394939,0.00003186669],"domain_scores_gemma":[0.9997842,0.00004145292,0.0000284307,0.00001943667,0.00009271576,0.00003368498],"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":[0.0009034196,0.0001282621,0.8968565,0.0002967702,0.0002477547,0.0005767035,0.001384404,0.006502921,0.03791802,0.000199359,0.001834243,0.05315153],"study_design_scores_gemma":[0.00003078628,0.0002419896,0.9674702,0.0001101729,0.00007985256,0.0001711585,0.003137023,0.02264934,0.00455769,0.00004281253,0.001487328,0.00002163746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9970737,0.0002991096,0.0003936141,0.00007279705,0.00001625242,0.00002802324,0.0008160146,0.00003406727,0.00126646],"genre_scores_gemma":[0.994842,0.000225309,0.002284842,0.00005510142,0.000004882536,0.00002114717,0.001994544,0.000006879258,0.0005653376],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1019172,"threshold_uncertainty_score":0.202648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0392222381461412,"score_gpt":0.3008619979829841,"score_spread":0.261639759836843,"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."}}