{"id":"W7032551896","doi":"","title":"Rumbo al ascenso","year":2023,"lang":"es","type":"dissertation","venue":"Repositori UJI (Universitat Jaume I)","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Club; Amateur; Position (finance); Promotion (chess)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004491364,0.001167642,0.001686178,0.002447319,0.001862319,0.00125825,0.00316255,0.001268959,0.0007733752],"category_scores_gemma":[0.006464608,0.001254057,0.001282225,0.005274707,0.000277432,0.001114522,0.0007074823,0.001424082,0.005266616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008056068,"about_ca_system_score_gemma":0.0008396244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309612,"about_ca_topic_score_gemma":0.0001618877,"domain_scores_codex":[0.9879358,0.001633011,0.001531809,0.002814542,0.004677076,0.00140776],"domain_scores_gemma":[0.9856356,0.007359141,0.001944021,0.002324023,0.001987505,0.0007496473],"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":[0.002379163,0.0004477887,0.02882027,0.0005069242,0.001941475,0.006358774,0.01876768,0.0002805281,0.01459511,0.004101472,0.6045892,0.3172116],"study_design_scores_gemma":[0.003598238,0.001593662,0.3859356,0.00322321,0.002406634,0.0006221419,0.1127733,0.007709144,0.003204235,0.006761139,0.4663273,0.005845341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.785121,0.0007130048,0.001769633,0.001800743,0.06694142,0.001427929,0.0001553514,0.001144949,0.1409259],"genre_scores_gemma":[0.2861198,0.0005067323,0.01902693,0.0002194681,0.003640319,0.00003719159,0.0007474863,0.0005898543,0.6891122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5481863,"threshold_uncertainty_score":0.9997786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06083354690993275,"score_gpt":0.3821053932378972,"score_spread":0.3212718463279645,"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."}}