{"id":"W6929616055","doi":"10.48689/61404122-0c5e-4ab5-9cdd-d85a029cf8bc","title":"Canadian Protected and Conserved Areas Database","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine protected area; Spatial database; Climate change; Biodiversity","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":[0.0008716505,0.001167745,0.001106821,0.008824237,0.002916758,0.002905783,0.002845118,0.0009156992,0.07553995],"category_scores_gemma":[0.007332129,0.0004955659,0.0006471361,0.02537113,0.0005188311,0.001207327,0.001530004,0.001709287,0.02701202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02056689,"about_ca_system_score_gemma":0.0446015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9702153,"about_ca_topic_score_gemma":0.9845867,"domain_scores_codex":[0.9985941,0.00007070982,0.0001176047,0.0002540864,0.000657315,0.000306147],"domain_scores_gemma":[0.993954,0.000399603,0.0002478472,0.0003467304,0.004515531,0.0005363562],"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":[0.00002266744,0.000006089843,0.001077414,0.0002536715,0.00001575944,0.00002189971,0.00004051717,0.0001522821,0.000035016,0.001733726,0.9935115,0.003129459],"study_design_scores_gemma":[0.00002563681,0.000002251247,0.007701711,0.0002393421,0.00001898214,0.00002813784,0.000134299,0.000292735,0.0001023706,0.0006565879,0.9907706,0.00002732988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001194978,0.00006132627,0.00004283698,0.00007019856,0.000009824984,0.00001254737,0.9972225,0.00005268084,0.002408648],"genre_scores_gemma":[0.001094866,0.0001848548,0.0004364403,0.00005831649,0.000004257516,0.00006060926,0.9959366,0.00004243647,0.002181632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07553995,"threshold_uncertainty_score":0.2527063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05717874096718874,"score_gpt":0.3104510640487163,"score_spread":0.2532723230815275,"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."}}