{"id":"W2144962283","doi":"10.1111/1467-9671.00068","title":"A Framework and Software Tool to Support Collaborative Landscape Analysis: Fitting Square Pegs into Square Holes","year":2001,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Event (particle physics); Variety (cybernetics); Conceptual framework; Software; Conceptual model; Process (computing); Data science; Ecology; Artificial intelligence; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006243525,0.001947813,0.001486179,0.002777473,0.002154178,0.004097977,0.006175579,0.00288174,0.01768654],"category_scores_gemma":[0.01696457,0.002158177,0.003364808,0.00206985,0.003070488,0.008276571,0.008782906,0.002719318,0.004277047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363107,"about_ca_system_score_gemma":0.003601463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009651348,"about_ca_topic_score_gemma":0.009673601,"domain_scores_codex":[0.9973022,0.0008277383,0.0003914684,0.0004425154,0.0007839937,0.0002521409],"domain_scores_gemma":[0.9922817,0.004172899,0.0003877398,0.001598551,0.0008167389,0.000742257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007133613,0.0008416551,0.006636044,0.001590106,0.0002867405,0.002563322,0.0108485,0.2217694,0.0195672,0.1889037,0.05422394,0.492056],"study_design_scores_gemma":[0.0003365222,0.0002502194,0.0009785037,0.0004133988,0.0001085707,0.0009205329,0.001152186,0.6407377,0.00903745,0.1236482,0.2221,0.0003167063],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001289499,0.0000299009,0.9846896,0.0001306753,0.00003740783,0.0002256353,0.0001509302,0.01209833,0.001348059],"genre_scores_gemma":[0.01999623,0.00007724968,0.9758779,0.00005247553,0.00001081893,0.000454231,0.0004816783,0.00186654,0.001183066],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01768654,"threshold_uncertainty_score":0.05916739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663404420338282,"score_gpt":0.277836012113939,"score_spread":0.2612019679105562,"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."}}