{"id":"W2313494700","doi":"10.1111/j.1467-9671.2010.01237.x","title":"Taking Stock","year":2010,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Corporation; Gratitude; State (computer science); Art history; Management; Humanities; History; Art; Political science; Law; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003990271,0.00140324,0.001412073,0.0022434,0.00271129,0.01735734,0.003234164,0.004637932,0.7439954],"category_scores_gemma":[0.02118828,0.0004160768,0.001082485,0.002297723,0.001047132,0.007944121,0.00557319,0.003086354,0.6462401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002506356,"about_ca_system_score_gemma":0.008121378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735029,"about_ca_topic_score_gemma":0.002910917,"domain_scores_codex":[0.9950504,0.0005459749,0.0003595692,0.0008671019,0.002574862,0.0006021748],"domain_scores_gemma":[0.9834459,0.001052705,0.000922326,0.002323697,0.006702889,0.005552522],"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":[0.00005052888,0.00002457533,0.0002254904,0.0001329346,0.000009278979,0.0001377155,0.00008032044,0.00004796194,0.0002078111,0.008019569,0.8930988,0.09796509],"study_design_scores_gemma":[0.000006964262,0.00001297497,0.00009742399,0.00006595106,0.000003620406,0.00006507667,0.00007067301,0.00003312419,0.00006924747,0.001934023,0.9976356,0.000005355688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001151687,0.006404305,0.003549579,0.06597651,0.06505821,0.0002893746,0.004897546,0.004049879,0.8486229],"genre_scores_gemma":[0.005480584,0.002793268,0.001578212,0.01089985,0.006815147,0.0001089704,0.002460424,0.000904999,0.9689586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7439954,"threshold_uncertainty_score":0.3651595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031063763161907,"score_gpt":0.3224079827472638,"score_spread":0.2920973451156448,"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."}}