{"id":"W6901607625","doi":"10.6068/dp15f81fd0dc016","title":"Trend. Xignite. FactSet Corporate Fundamentals: Float | Country: USA | Stock Symbol: ISXIF | Symbol Name: iShares S&P BSE Units | Exchange: Other OTC/NBB, Day Format Error: 2147483647-Day Format Error: 0. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-072.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock (firearms); Stock market; License; Earnings; Common stock","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":[0.001255345,0.002059234,0.001360955,0.004607663,0.0008142987,0.004088784,0.003065474,0.001980448,0.2142802],"category_scores_gemma":[0.008630573,0.0009462071,0.001369443,0.009073472,0.0003448501,0.003359223,0.002696639,0.0023894,0.3422759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151468,"about_ca_system_score_gemma":0.00211575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983613,"about_ca_topic_score_gemma":0.02509568,"domain_scores_codex":[0.9989134,0.0001114676,0.0001188449,0.0003773738,0.0002896934,0.0001891765],"domain_scores_gemma":[0.9968334,0.0006579426,0.0003879335,0.000747472,0.001080419,0.0002928101],"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":[0.00001622419,0.000006304055,0.0004944022,0.0001669819,0.00001026299,0.000005986173,0.00001028605,0.00008506579,0.00002859212,0.0002604714,0.9978414,0.001074143],"study_design_scores_gemma":[0.00013688,0.00001982,0.003420271,0.0003045955,0.00001891082,0.00002695196,0.00007261486,0.0003992485,0.0002448341,0.001032045,0.9942974,0.00002629698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005672671,0.00001966073,0.00003522369,0.00006655861,0.00002882058,0.000008297556,0.9984555,0.0005133465,0.0008158141],"genre_scores_gemma":[0.0001832109,0.0000287482,0.0001636693,0.0000467152,0.00001102477,0.00005070979,0.9983491,0.0001746388,0.0009922291],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2142802,"threshold_uncertainty_score":0.7168388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1517738357707769,"score_gpt":0.3361033657974077,"score_spread":0.1843295300266308,"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."}}