{"id":"W2782755661","doi":"10.1109/msmc.2017.2703590","title":"Big Data and Collaboration Research: Creating Real Big Data","year":2018,"lang":"en","type":"article","venue":"IEEE Systems Man and Cybernetics Magazine","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"Nipissing University; University of Miami","keywords":"Big data; Data science; Research data; Computer science; World Wide Web; Data mining; Data curation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002095536,0.0001020813,0.0001497048,0.00006379307,0.0008222272,0.0004786175,0.0004971085,0.000111918,0.00001218005],"category_scores_gemma":[0.0003022039,0.00008432024,0.000005986727,0.0004233505,0.0005483335,0.0003224875,0.0002744579,0.0001206124,0.00007495384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004358537,"about_ca_system_score_gemma":0.0001500275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0118084,"about_ca_topic_score_gemma":0.07482234,"domain_scores_codex":[0.9980797,0.0004088,0.000227451,0.0004651697,0.0005012716,0.0003176608],"domain_scores_gemma":[0.9985665,0.0001027544,0.00009498528,0.0007390589,0.0003456702,0.0001510055],"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":[0.0001599156,0.0002120585,0.01071497,0.0004876456,0.0001729988,0.00008451025,0.1327587,0.000004033265,0.0247379,0.03208229,0.5337139,0.264871],"study_design_scores_gemma":[0.0005965129,0.0002169188,0.005803378,0.0002064247,0.00005358659,0.00001440676,0.02957963,0.003719787,0.00006370763,0.0003965834,0.9590212,0.0003278382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7442467,0.003431174,0.0002132166,0.001291716,0.002853936,0.0009048264,0.0003906193,0.0001326295,0.2465352],"genre_scores_gemma":[0.9741937,0.001667062,0.00008159669,0.00003049123,0.005492186,0.000004960957,0.0002082777,0.00001165007,0.01831008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4253073,"threshold_uncertainty_score":0.9947721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2206925627232537,"score_gpt":0.3934208384565593,"score_spread":0.1727282757333056,"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."}}