{"id":"W7039622757","doi":"","title":"A measure of affordable loss in effectual decision-making","year":2022,"lang":"en","type":"dissertation","venue":"UpSpace Institutional Repository (University of Pretoria)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nomological network; Construct (python library); Heuristic; Scale (ratio); Affordable housing; Investment (military); Loss aversion; Measure (data warehouse); Prospect theory","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":[],"consensus_categories":[],"category_scores_codex":[0.006081893,0.0005483642,0.0003488935,0.001974573,0.0006466102,0.002329612,0.0007670497,0.0008974997,0.004791262],"category_scores_gemma":[0.03103144,0.0002377717,0.0008281656,0.001144001,0.002113954,0.003051179,0.002463252,0.001371543,0.0005698688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330214,"about_ca_system_score_gemma":0.0009151248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005287238,"about_ca_topic_score_gemma":0.00101139,"domain_scores_codex":[0.9946877,0.002056947,0.0004737336,0.0003524456,0.002031704,0.0003975075],"domain_scores_gemma":[0.9743704,0.01511312,0.00508332,0.002166067,0.001941593,0.001325413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00127352,0.00320976,0.4809015,0.001153737,0.0005040287,0.0005916292,0.01734904,0.01315739,0.00935357,0.0797013,0.004329829,0.3884747],"study_design_scores_gemma":[0.0002057664,0.003503498,0.811325,0.0007987956,0.0003012127,0.0009458578,0.01453983,0.02635641,0.005369198,0.1043061,0.03201963,0.0003287148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8908244,0.0005033313,0.05024918,0.0006323204,0.00009028916,0.0008821735,0.0004018556,0.0001776549,0.05623877],"genre_scores_gemma":[0.9826525,0.0001134985,0.01550203,0.0001336108,0.00001966122,0.0003075503,0.0001800513,0.00001264718,0.001078452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006081893,"threshold_uncertainty_score":0.03216451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008600438853735041,"score_gpt":0.2044655547900273,"score_spread":0.1958651159362922,"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."}}