{"id":"W1867142631","doi":"10.3390/h4030353","title":"“More Hands” Means “More Ideas”: Collaboration in the Humanities","year":2015,"lang":"en","type":"article","venue":"Humanities","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Digital humanities; Work (physics); Sociology; Engineering ethics; Humanities; Knowledge management; Engineering; Computer science; Art","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":[0.0004270873,0.0001630016,0.0001638024,0.0001464378,0.0002655161,0.0002650367,0.0003296949,0.0000828351,0.0003146443],"category_scores_gemma":[0.00002280988,0.0001250843,0.00003753656,0.0001629113,0.00030881,0.000235467,0.00003256213,0.000213809,0.0001516376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006774854,"about_ca_system_score_gemma":0.00005839184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006852048,"about_ca_topic_score_gemma":0.006775943,"domain_scores_codex":[0.998898,0.0001232031,0.0002494779,0.0001858373,0.0002643266,0.0002791811],"domain_scores_gemma":[0.9993288,0.00007088917,0.00008545959,0.0003611669,0.0001328707,0.00002081946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007901568,0.0001017599,0.008481802,0.00002408733,0.00002720809,0.00003479264,0.5041345,0.0000506593,0.000003474845,0.4034806,0.08309975,0.0004822453],"study_design_scores_gemma":[0.001288074,0.0002978443,0.03361333,0.00003640611,0.00002263676,0.00002836064,0.4021456,0.0003518371,0.000005851558,0.00581641,0.5560796,0.0003140387],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8397974,0.00091461,0.00001922683,0.001064233,0.0007357476,0.000259282,0.00004180543,0.00007915527,0.1570885],"genre_scores_gemma":[0.9802722,0.00001630436,0.00002590653,0.003457569,0.0004337145,0.0001223121,0.00007915841,0.00002400629,0.01556879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4729799,"threshold_uncertainty_score":0.510079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07547430180342914,"score_gpt":0.3379722445216208,"score_spread":0.2624979427181917,"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."}}