{"id":"W4399368926","doi":"10.21428/d82e957c.ba48518e","title":"SLVVA: Scalable Land Viability via Vision-Language Architecture","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Architecture; Computer science; Scalability; Computer architecture; Geography; Archaeology; Operating system","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":[0.0004755838,0.001546014,0.0009160296,0.0008787116,0.0005999017,0.002026226,0.004265727,0.001193904,0.007761286],"category_scores_gemma":[0.001659211,0.0007099075,0.001302741,0.0009844159,0.0006707042,0.003825984,0.002541196,0.001818604,0.003799134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792868,"about_ca_system_score_gemma":0.001688185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02587909,"about_ca_topic_score_gemma":0.03913834,"domain_scores_codex":[0.9995738,0.00003822594,0.00002206541,0.0001919014,0.000100749,0.00007326474],"domain_scores_gemma":[0.9996989,0.00007361768,0.00002487948,0.00009696141,0.00007227556,0.00003350136],"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":[0.0005766074,0.0004625524,0.002503012,0.0005567729,0.000286766,0.0003477585,0.00018462,0.3131111,0.02581048,0.01639761,0.09600141,0.5437613],"study_design_scores_gemma":[0.00003461655,0.00003905909,0.00019464,0.00001275096,0.00001429535,0.00002898821,0.00002591552,0.9827006,0.00364176,0.008208327,0.005085334,0.00001370492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0387627,0.001214099,0.8011241,0.000618247,0.000360916,0.0004237174,0.004314294,0.1430953,0.01008662],"genre_scores_gemma":[0.3712077,0.0005407882,0.5993778,0.0009026849,0.00009431207,0.0007055575,0.01671992,0.002757474,0.00769388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02587909,"threshold_uncertainty_score":0.05145693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006263177157044097,"score_gpt":0.2598914936039353,"score_spread":0.2536283164468912,"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."}}