{"id":"W6978268109","doi":"10.7916/d8q247b4","title":"McGill__TEDx_112911.mp4","year":2017,"lang":"de","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005211681,0.0009105153,0.0008709937,0.001533708,0.002553551,0.004354168,0.00277008,0.002352586,0.9477696],"category_scores_gemma":[0.002857846,0.0007135926,0.0004607655,0.001938889,0.0009425603,0.001633691,0.002905138,0.001832398,0.8599492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004347946,"about_ca_system_score_gemma":0.003650474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07952671,"about_ca_topic_score_gemma":0.1921528,"domain_scores_codex":[0.9995054,0.00003667071,0.00001547871,0.000126617,0.0002065736,0.0001091803],"domain_scores_gemma":[0.9980072,0.0002239169,0.00006410598,0.000259765,0.0004818102,0.0009631763],"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":[0.00004461273,0.00002196206,0.00009268759,0.00004620442,0.0000021961,0.00003819257,0.00001647557,0.00006229122,0.0002863192,0.003435406,0.9579633,0.03799038],"study_design_scores_gemma":[0.00001511675,0.000009579008,0.0004591715,0.00004327266,0.000002475192,0.00002654132,0.00002227836,0.0001047231,0.0003834018,0.00109332,0.9978303,0.000009797082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003303486,0.0003256761,0.0007967413,0.002125863,0.0004384619,0.00004872814,0.01725166,0.003780485,0.9749019],"genre_scores_gemma":[0.002310731,0.0002213755,0.0004471991,0.000853097,0.00007255457,0.00003610655,0.003988591,0.001295077,0.9907753],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07952671,"threshold_uncertainty_score":0.1581277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305869271668755,"score_gpt":0.2143330140417896,"score_spread":0.161274321325102,"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."}}