{"id":"W2390659702","doi":"","title":"Research on Calculation and Classification of Land Development Potentiality Based on ARCGIS","year":2012,"lang":"en","type":"article","venue":"Ground Water","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Arable land; Unit (ring theory); Foundation (evidence); Exploit; Index (typography); Land use; Geography; Environmental resource management; Environmental science; Environmental planning; Computer science; Civil engineering; Mathematics; Engineering; Agriculture; Archaeology","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":[0.001099675,0.0005391787,0.0003423018,0.005080941,0.0004240767,0.001598832,0.0005431375,0.0002463817,0.002412291],"category_scores_gemma":[0.002473023,0.0002849775,0.000436465,0.006828869,0.0005383996,0.003189271,0.0005900855,0.0004248435,0.0005048533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008390297,"about_ca_system_score_gemma":0.001052329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006760591,"about_ca_topic_score_gemma":0.005331249,"domain_scores_codex":[0.9991097,0.000246243,0.00007441665,0.000144523,0.0003784188,0.00004674397],"domain_scores_gemma":[0.9991676,0.0002308749,0.00008077957,0.00008436989,0.0003948996,0.00004160076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005105709,0.00007216902,0.0469865,0.0004872923,0.000119964,0.0001744327,0.0007535354,0.05492548,0.007269761,0.06876994,0.007913867,0.812476],"study_design_scores_gemma":[0.00005160111,0.000164753,0.1429318,0.0003474345,0.0001568747,0.001058929,0.003209935,0.6705499,0.02018762,0.0691803,0.09191326,0.0002476634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1213583,0.001816306,0.8530155,0.0008769657,0.0001376106,0.0003045649,0.0009430766,0.001817913,0.01972988],"genre_scores_gemma":[0.5564377,0.003204703,0.4324372,0.00008584617,0.00006791949,0.0003254798,0.001925417,0.0002114993,0.005304324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006760591,"threshold_uncertainty_score":0.01344252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09816290654224463,"score_gpt":0.3006992508024364,"score_spread":0.2025363442601918,"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."}}