{"id":"W7066636248","doi":"","title":"Iranian and Canadian Firms Join Forces for Iran’s 1st FinTech, Banking, Business Opportunities and Trade Conference","year":2015,"lang":"en","type":"other","venue":"","topic":"Security, Politics, and Digital Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Join (topology); Government (linguistics); Work (physics); Key (lock)","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":[0.001444102,0.0004376339,0.000314743,0.002601331,0.01288744,0.005915768,0.000775691,0.001933736,0.06977101],"category_scores_gemma":[0.002770872,0.0001960417,0.0004568338,0.004553928,0.00135503,0.00120494,0.001673928,0.001808232,0.005247721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03038557,"about_ca_system_score_gemma":0.08918647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9340371,"about_ca_topic_score_gemma":0.9853264,"domain_scores_codex":[0.9982713,0.00005480403,0.00001931759,0.00005715317,0.0006594046,0.0009379808],"domain_scores_gemma":[0.9966063,0.0001706571,0.0001042521,0.00005923376,0.001583414,0.001476085],"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":[0.0001572921,0.0001391372,0.03815085,0.00009291775,0.00002379208,0.0001939156,0.003929769,0.000127255,0.0002416303,0.03101104,0.8525947,0.07333761],"study_design_scores_gemma":[0.00003083701,0.00003017474,0.1437872,0.00011209,0.00001904319,0.00005649746,0.02317265,0.0001877167,0.0002691839,0.001254215,0.8310525,0.0000277914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08598936,0.001982455,0.0001868633,0.04373437,0.001341954,0.0002228147,0.005902608,0.0001181734,0.8605213],"genre_scores_gemma":[0.2105592,0.001774874,0.0005917667,0.003758896,0.0002909148,0.00007646897,0.003519074,0.00006643676,0.7793624],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06977101,"threshold_uncertainty_score":0.2334073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1219622551260867,"score_gpt":0.3040564503389696,"score_spread":0.1820941952128829,"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."}}