{"id":"W2149955462","doi":"10.5194/isprsannals-i-4-29-2012","title":"CONCEPTS, MODELS AND IMPLEMENTATION OF THE MARINE SPATIAL DATA INFRASTRUCTURE IN GERMANY (MDI-DE)","year":2012,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spatial data infrastructure; Geospatial analysis; Marine spatial planning; Marine Strategy Framework Directive; Geoinformatics; Computer science; Spatial analysis; Systems engineering; Environmental resource management; Engineering; Geography; Environmental science; Remote sensing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003096315,0.0001104978,0.0001950311,0.0001887174,0.0006202018,0.0001158287,0.0003961684,0.00007168383,0.000008225973],"category_scores_gemma":[0.000271619,0.00007105061,0.00004814443,0.0007406565,0.001031428,0.001126553,0.00045869,0.0001121419,3.145497e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001630923,"about_ca_system_score_gemma":0.0001278387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6056897,"about_ca_topic_score_gemma":0.1443944,"domain_scores_codex":[0.9981523,0.0001994403,0.0005873272,0.00009786749,0.0006296954,0.0003333323],"domain_scores_gemma":[0.998688,0.0001129991,0.0006510921,0.0002611364,0.0002212669,0.0000654387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000009281546,0.000005015938,0.04530557,0.00004456782,0.00001627926,2.104611e-8,0.05096679,0.0002450306,0.00004355843,0.0003139613,0.000205252,0.9028447],"study_design_scores_gemma":[0.0005606661,0.0000558015,0.5337824,0.0001521489,0.00003014559,0.00001099969,0.08605357,0.3644418,0.00171032,0.004626255,0.008306782,0.0002690909],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517323,0.0001563074,0.03821743,0.003213808,0.0007530999,0.0008134313,0.00007172401,0.00002113701,0.005020735],"genre_scores_gemma":[0.9989644,0.0002277868,0.0003699885,0.0003694094,0.00005267079,2.851752e-7,0.000004614474,0.000002281342,0.000008580337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9025756,"threshold_uncertainty_score":0.8712181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06753176581894267,"score_gpt":0.3808354624568485,"score_spread":0.3133036966379058,"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."}}