{"id":"W2756015464","doi":"","title":"Scaling Research Projects","year":2017,"lang":"en","type":"article","venue":"MacSphere (McMaster University)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Scaling; Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02345383,0.00107305,0.0009551435,0.007186089,0.004871475,0.01045774,0.002946321,0.002005036,0.4396462],"category_scores_gemma":[0.06514082,0.001111526,0.001038403,0.008353747,0.001309747,0.00799974,0.01205939,0.00389301,0.239832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004247074,"about_ca_system_score_gemma":0.01166247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003351373,"about_ca_topic_score_gemma":0.007292694,"domain_scores_codex":[0.9765368,0.00707367,0.001452714,0.003044046,0.009836702,0.002056127],"domain_scores_gemma":[0.9405462,0.008817673,0.001605062,0.01401899,0.02025989,0.01475227],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002188838,0.0004130648,0.001323981,0.0005763014,0.00001593639,0.00008276814,0.002638791,0.0002785877,0.001738022,0.03034107,0.5822657,0.380107],"study_design_scores_gemma":[0.00005045546,0.0001268741,0.002065256,0.0002040679,0.000008620676,0.00004429508,0.001737789,0.000166912,0.0005901871,0.006071141,0.9889147,0.00001978208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01083734,0.001324394,0.03498132,0.01240764,0.006203023,0.008452055,0.01227323,0.007870337,0.9056506],"genre_scores_gemma":[0.07538819,0.00263264,0.0692265,0.004908354,0.001610474,0.01665036,0.01796047,0.006267857,0.8053552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9765462,"threshold_uncertainty_score":0.7992767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1623394276203451,"score_gpt":0.2752833894437484,"score_spread":0.1129439618234033,"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."}}