{"id":"W4252442908","doi":"10.1111/j.1559-8918.2012.00031.x","title":"WORKSHOPS","year":2012,"lang":"en","type":"article","venue":"Ethnographic Praxis in Industry Conference Proceedings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Environmental science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002575304,0.0005744996,0.0005181514,0.001373644,0.0002047476,0.0002364675,0.0009628418,0.001733988,0.00127026],"category_scores_gemma":[0.0009386323,0.0005906715,0.000139082,0.004847435,0.0006782633,0.002597422,0.0003250703,0.004767452,0.0006751364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605005,"about_ca_system_score_gemma":0.0001609723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009463426,"about_ca_topic_score_gemma":0.00002598701,"domain_scores_codex":[0.9957724,0.000057086,0.0007497513,0.0006937999,0.0008363572,0.001890672],"domain_scores_gemma":[0.998145,0.0001166117,0.0003646619,0.0003552051,0.0003818201,0.000636655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005623296,0.0003365427,0.9567467,0.0000448719,0.00003688512,0.000003771926,0.0105952,8.773257e-7,0.003820353,0.01641074,0.006095242,0.005852578],"study_design_scores_gemma":[0.002885343,0.0002215995,0.8738987,0.001441957,0.0001128214,0.0001749878,0.04795668,0.0005142945,0.007901412,0.009481785,0.05244239,0.002967973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320865,0.0004014226,0.00002736423,0.0008226034,0.0004597254,0.0005230678,0.00001268745,0.0005890993,0.06507751],"genre_scores_gemma":[0.9974044,0.00003926223,0.0009178433,0.0002763241,0.0004523872,0.0003048437,0.000009212338,0.0001178657,0.0004778694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08284795,"threshold_uncertainty_score":0.9996545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06225331300413442,"score_gpt":0.3122868778178954,"score_spread":0.2500335648137609,"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."}}