{"id":"W2859401668","doi":"10.4095/308412","title":"Radar Earth observation methods towards hydrokinetic site selection: a literature review","year":2018,"lang":"en","type":"review","venue":"","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Selection (genetic algorithm); Earth (classical element); Radar; Remote sensing; Geology; Environmental science; Computer science; Artificial intelligence; Mathematics; Telecommunications","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":[0.002054467,0.001227677,0.001694921,0.003502227,0.0003354534,0.001624786,0.001823587,0.001095184,0.004353508],"category_scores_gemma":[0.007031351,0.0006086354,0.0009264148,0.00502944,0.0006788863,0.002158285,0.001112882,0.001080289,0.002268095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003577315,"about_ca_system_score_gemma":0.002150917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181827,"about_ca_topic_score_gemma":0.003133017,"domain_scores_codex":[0.9994231,0.0001008844,0.0000790739,0.0001840817,0.000181311,0.0000314747],"domain_scores_gemma":[0.9952377,0.003542274,0.0002343049,0.0001464285,0.0007590386,0.00008021866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004290821,0.00005983241,0.001071657,0.02085048,0.0002010896,0.00007596967,0.00007199919,0.001728837,0.0008837852,0.004682729,0.01528838,0.9550422],"study_design_scores_gemma":[0.00004388971,0.0001790785,0.004578403,0.02067833,0.001245397,0.001505752,0.0003072041,0.006334021,0.003791389,0.01847276,0.942669,0.0001946999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006940324,0.9848949,0.01133672,0.0005450365,0.0004323875,0.00002391845,0.0001890955,0.00008537075,0.00179851],"genre_scores_gemma":[0.003990835,0.9851688,0.00874708,0.0003687123,0.0005625355,0.00002917067,0.0002671859,0.00005259611,0.0008131487],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004353508,"threshold_uncertainty_score":0.01456386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06447124769565112,"score_gpt":0.3913180295361501,"score_spread":0.326846781840499,"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."}}