{"id":"W2824506563","doi":"10.7202/1048925ar","title":"Tools for Rational Development: The Canada Land Inventory and the Canada Geographic Information System in Mid-twentieth century Canada","year":2018,"lang":"en","type":"article","venue":"Scientia Canadensis Canadian Journal of the History of Science Technology and Medicine","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; State (computer science); Regional science; Knowledge management; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003988794,0.000100763,0.0002368144,0.0008892817,0.002611879,0.00003061632,0.0007813108,0.00005336473,0.00000816046],"category_scores_gemma":[0.001366865,0.00005667696,0.0000205641,0.001643923,0.01279533,0.000362668,0.00005445887,0.0001913645,3.689631e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00324084,"about_ca_system_score_gemma":0.08281786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996781,"about_ca_topic_score_gemma":0.9999982,"domain_scores_codex":[0.997878,0.00007721686,0.0005797083,0.0001086653,0.000951148,0.0004053159],"domain_scores_gemma":[0.9978092,0.0001311101,0.000610253,0.0001759496,0.001027161,0.0002463072],"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":[0.0001009541,0.000006037801,0.3399351,0.0002837487,0.0002476067,0.00002187275,0.1303665,0.00007727023,0.00004094294,0.1395329,0.3805154,0.008871664],"study_design_scores_gemma":[0.0007387524,0.00001770795,0.04466507,0.0001832204,0.0000339633,0.0000495926,0.08733136,0.00004506307,0.00001442533,0.0001533524,0.8666713,0.00009622765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8965495,0.005935756,0.00001675596,0.07538772,0.01753828,0.000909909,0.00003575184,0.000006224757,0.003620156],"genre_scores_gemma":[0.998628,0.00002147473,0.00001960084,0.001023188,0.00005607035,0.000008261862,7.599106e-7,0.0000019589,0.0002406902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4861559,"threshold_uncertainty_score":0.9986866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102176861076085,"score_gpt":0.1996613631598977,"score_spread":0.1886395945491369,"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."}}