{"id":"W241571802","doi":"10.5070/pg7251003192","title":"Charting Collaborative Practices: Acknowledgements","year":2009,"lang":"en","type":"article","venue":"Paroles gelées","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Los Angeles; University of Southern California","keywords":"Library science; Theme (computing); French; The Internet; Political science; Sociology; Media studies; Public relations; World Wide Web; Humanities; Computer science; Art","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001728142,0.0001034995,0.0001463425,0.0000643135,0.0005227893,0.00015343,0.0002599971,0.00007725581,0.0009363688],"category_scores_gemma":[0.01016045,0.00009947419,0.00003596609,0.0005087707,0.0001162424,0.0003545106,0.00002454636,0.0001660619,0.000650591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006944394,"about_ca_system_score_gemma":0.0001599736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001177362,"about_ca_topic_score_gemma":0.0006857245,"domain_scores_codex":[0.998067,0.0008279029,0.0001711103,0.0002343258,0.0003348248,0.0003648847],"domain_scores_gemma":[0.9986859,0.0003516469,0.00036245,0.0001637769,0.0003281807,0.0001080609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003630794,0.0002489636,0.01975043,0.00001759695,0.00006209186,0.00002736977,0.1553238,0.00003252548,0.00663323,0.01138134,0.02457298,0.7819133],"study_design_scores_gemma":[0.0002790801,0.0001092582,0.008093867,0.00004964155,0.00002933792,4.028861e-7,0.02400269,0.0001390283,0.003173625,0.003107514,0.9607506,0.0002649045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2790835,0.004117394,0.0007363651,0.007230445,0.001036815,0.0005054314,0.000003903292,0.0004593311,0.7068268],"genre_scores_gemma":[0.9511787,0.0002102209,0.02969956,0.000868327,0.001366588,0.00002182267,0.00000538496,0.00001303979,0.0166363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9361777,"threshold_uncertainty_score":0.9999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04115648485675978,"score_gpt":0.4072263845134128,"score_spread":0.366069899656653,"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."}}