{"id":"W2395701964","doi":"10.5860/crln.72.11.8675","title":"Introducing CLIPP: College Library Information on Policy and Practice","year":2011,"lang":"en","type":"article","venue":"College & Research Libraries News","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Library science; Computer science; Political 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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002387129,0.0001694242,0.0002006417,0.001088409,0.002140287,0.001453405,0.0008239098,0.0001661152,0.00151362],"category_scores_gemma":[0.008269798,0.0001508964,0.00005144594,0.003360111,0.001243783,0.1315879,0.0004887923,0.0004985806,0.0006052526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007914624,"about_ca_system_score_gemma":0.00291333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113053,"about_ca_topic_score_gemma":0.00001542668,"domain_scores_codex":[0.995952,0.001169658,0.0005267158,0.0002913832,0.001222438,0.0008377673],"domain_scores_gemma":[0.9965706,0.002021254,0.000180215,0.0004560841,0.0002397908,0.0005320333],"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":[0.0002646649,0.00004003747,0.0003694865,0.00001509534,0.000006994933,0.000005887769,0.03812659,7.019725e-7,0.000001947205,0.7483409,0.2053123,0.00751544],"study_design_scores_gemma":[0.0003180216,0.0002654195,0.0009948167,0.00002859311,0.000002151184,0.000005388404,0.07095236,0.00006629127,0.000189674,0.02114129,0.905871,0.0001649881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007755837,0.0001369527,0.00003836916,0.06758886,0.0003147728,0.0008684945,0.0001320863,0.0002371127,0.9229275],"genre_scores_gemma":[0.5933015,0.006412225,0.06345263,0.1622882,0.008535936,0.0005480131,0.0003393443,0.0001444638,0.1649777],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7579499,"threshold_uncertainty_score":0.9995832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08057974590933747,"score_gpt":0.366073902494925,"score_spread":0.2854941565855875,"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."}}