{"id":"W4323543938","doi":"10.1080/10095020.2023.2167615","title":"Mangrove plantation suitability mapping by integrating multi criteria decision making geospatial approach and remote sensing data","year":2023,"lang":"en","type":"article","venue":"Geo-spatial Information Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Lunds Universitet; European Commission","keywords":"Geospatial analysis; Mangrove; Threatened species; Environmental resource management; Intertidal zone; Multiple-criteria decision analysis; Environmental science; Suitability analysis; Geography; Remote sensing; Computer science; Ecology; Operations research; Habitat; 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":[0.001278459,0.000760217,0.0004800281,0.002940751,0.0004153728,0.001315531,0.0006137538,0.0005101446,0.001061253],"category_scores_gemma":[0.0019189,0.0003559296,0.001002414,0.001724366,0.0002648081,0.0007499108,0.0008503408,0.0003957087,0.000088218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030169,"about_ca_system_score_gemma":0.001023678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.013509,"about_ca_topic_score_gemma":0.01788055,"domain_scores_codex":[0.999126,0.0003326686,0.00007903147,0.0001252174,0.0002541701,0.0000828562],"domain_scores_gemma":[0.9994003,0.0002621048,0.00009374948,0.00002693453,0.0001665661,0.00005039053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001734942,0.0002469785,0.03519619,0.0003330444,0.0002331673,0.000563633,0.0003195459,0.851616,0.00600877,0.003099392,0.001124546,0.1010854],"study_design_scores_gemma":[0.00001173934,0.00004252494,0.005033796,0.00002630418,0.0000295511,0.00002704625,0.0002521213,0.992119,0.0006203064,0.001335745,0.000485018,0.00001692301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5792285,0.000473889,0.4113258,0.0004845086,0.00004663396,0.0004443646,0.001134644,0.0002755609,0.006586134],"genre_scores_gemma":[0.9238624,0.0001383806,0.07503486,0.00002442772,0.000009104499,0.0001232636,0.000393727,0.000007992658,0.0004058593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.013509,"threshold_uncertainty_score":0.02686077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815402191724618,"score_gpt":0.3043533222000768,"score_spread":0.2661993002828307,"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."}}