{"id":"W4402261863","doi":"10.1109/igarss53475.2024.10642193","title":"A Self-Supervised Approach for Producing A Land Use Map for Southern Quebec","year":2024,"lang":"en","type":"article","venue":"","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Land use; Artificial intelligence; Engineering; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003416197,0.00009581057,0.0001209282,0.00002259212,0.00009658287,0.000142616,0.0001034562,0.00004502553,0.000441527],"category_scores_gemma":[0.0000400338,0.00006345979,0.0001512975,0.0001326359,0.00002912968,0.0001717329,0.00004097341,0.00003899034,0.0001007575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006691778,"about_ca_system_score_gemma":0.00001304566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100738,"about_ca_topic_score_gemma":0.01119712,"domain_scores_codex":[0.9991271,0.0000176412,0.0001268157,0.0004076607,0.0001121461,0.000208632],"domain_scores_gemma":[0.9995947,0.0001344328,0.000009822335,0.0002005393,0.000006188781,0.00005432855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003806167,0.00144486,0.7092776,0.00334895,0.0009637413,0.000006708637,0.06267971,0.008093109,0.002189425,0.001129368,0.04235923,0.1681267],"study_design_scores_gemma":[0.000459681,0.00005915222,0.002140506,0.000009676777,0.0001778058,0.000001787897,0.00133357,0.9214491,0.0001704391,0.000680026,0.07322727,0.0002910428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8480814,0.0001645204,0.1441629,0.001640525,0.0001344051,0.001779767,0.0001120839,0.0005051684,0.00341917],"genre_scores_gemma":[0.8008218,0.000003602763,0.1362351,0.0003333711,0.0002170025,0.0006750402,0.00011237,0.00004024773,0.06156147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9133559,"threshold_uncertainty_score":0.9955784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855026035757915,"score_gpt":0.2195336357415383,"score_spread":0.2009833753839591,"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."}}