{"id":"W3013120343","doi":"10.11575/prism/37588","title":"Collaboration Trials and Triumphs: University of Calgary","year":2010,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Library science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008667493,0.00007220381,0.0002704231,0.0001404421,0.0003706878,0.00007451744,0.0003213915,0.00009990732,0.0005631744],"category_scores_gemma":[0.0001774244,0.00008591275,0.00007217525,0.00006240695,0.0003698109,0.001129927,0.0001171884,0.0002479838,0.000006606252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001660518,"about_ca_system_score_gemma":0.00009830038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004507721,"about_ca_topic_score_gemma":0.00188191,"domain_scores_codex":[0.9992892,0.0002112928,0.0001330845,0.0001284608,0.0001508407,0.00008709675],"domain_scores_gemma":[0.9989631,0.000183861,0.0002679044,0.0002736453,0.0002456688,0.0000658668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007104144,0.000401348,0.002518176,0.0001337896,0.0002604475,0.00001733011,0.1402035,3.012865e-7,0.01397567,0.5081772,0.0256313,0.3079705],"study_design_scores_gemma":[0.003348413,0.0002186579,0.02103247,0.00005362499,0.0002918928,0.000002382631,0.009814259,0.006539986,0.0003197216,0.004586489,0.9534325,0.000359605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9131918,0.0002297561,0.004561881,0.001550423,0.0002663128,0.0002307699,0.000006391189,0.00005682093,0.07990582],"genre_scores_gemma":[0.9808915,0.0002289774,0.008845291,0.00002777559,0.00003248054,6.190389e-8,0.00005243771,0.000007252802,0.009914272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9278012,"threshold_uncertainty_score":0.6814356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278110791057903,"score_gpt":0.2137695188935807,"score_spread":0.1859584397877904,"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."}}