{"id":"W7111293930","doi":"10.5281/zenodo.17818074","title":"LEONSEGS","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"European commission; Earth observation; European union; Service provider; Service (business); Commission","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":[0.002574015,0.001111849,0.0007220539,0.002039136,0.00188958,0.004518066,0.001421324,0.001740636,0.2725489],"category_scores_gemma":[0.007404528,0.0004033525,0.0005035381,0.001464934,0.0007357982,0.002854208,0.004464048,0.00154177,0.1960508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481411,"about_ca_system_score_gemma":0.003541792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004486476,"about_ca_topic_score_gemma":0.005200339,"domain_scores_codex":[0.9972356,0.0004953176,0.0001095343,0.0005286409,0.001262281,0.0003687764],"domain_scores_gemma":[0.9968725,0.0004025883,0.0001241333,0.0004955998,0.001304267,0.0008009868],"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":[0.0002400277,0.00006615862,0.001391665,0.0002684071,0.0000152112,0.0003255032,0.0004225948,0.0003560937,0.001430307,0.02541327,0.7493939,0.2206768],"study_design_scores_gemma":[0.000009944732,0.00001215497,0.0002439057,0.00005297318,0.000003103328,0.0001068766,0.00006981939,0.00012283,0.0003305956,0.0014665,0.9975763,0.000005034048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00970578,0.007624573,0.021122,0.0207902,0.007797092,0.0003808992,0.01421072,0.0195146,0.8988541],"genre_scores_gemma":[0.04706691,0.00560571,0.01713634,0.005430833,0.00116528,0.0003762901,0.02513105,0.006413373,0.8916741],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2725489,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03385367897324849,"score_gpt":0.280730066886472,"score_spread":0.2468763879132235,"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."}}