{"id":"W4387411571","doi":"10.2478/mgr-2023-0016","title":"In memory of Stanislav Martinát (1976–2023)","year":2023,"lang":"en","type":"article","venue":"Moravian Geographical Reports","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Czech; Geographer; Business management; Work (physics); Library science; History; Political science; Management; Sociology; Economic history; Engineering; Geography; Business; Computer science; Economics; Business administration; Philosophy; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003354299,0.000163218,0.0004049328,0.001043753,0.0003142556,0.0000450894,0.0001946805,0.0001958947,0.0002402425],"category_scores_gemma":[0.0007160741,0.0001617861,0.0002151704,0.004875116,0.0006347829,0.000298679,0.0001230509,0.0002121393,0.00008003388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003341054,"about_ca_system_score_gemma":0.0001154436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007343797,"about_ca_topic_score_gemma":0.004991097,"domain_scores_codex":[0.996667,0.0001601783,0.001106325,0.0003213483,0.001110759,0.0006344243],"domain_scores_gemma":[0.9985146,0.0001725122,0.000451083,0.0004184316,0.0002756724,0.0001677263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001757152,0.0000923741,0.955152,0.00009901945,0.00006848705,0.0008866395,0.01729525,0.00006135368,0.0001058766,0.01197757,0.0126783,0.001565498],"study_design_scores_gemma":[0.0004415683,0.00008538389,0.8017881,0.0001566146,0.00002946244,0.00002875327,0.0304152,0.00003732467,0.0001172988,0.03667419,0.1297007,0.0005253982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8932904,0.0001506266,0.00001821705,0.003200634,0.001123027,0.0006444984,0.00001029164,0.0002576413,0.1013047],"genre_scores_gemma":[0.9968106,0.0001168246,0.00005899425,0.0001541461,0.0001095632,0.00007401845,0.00001012879,0.00001253895,0.002653141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.153364,"threshold_uncertainty_score":0.9992664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913415935074035,"score_gpt":0.3018910963885501,"score_spread":0.2827569370378097,"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."}}