{"id":"W24721743","doi":"10.1016/j.breast.2014.03.001","title":"Factors Influencing Funding Decisions by Elected Politicians at the State/Provincial Level: A Case Study of Public Libraries in Canada","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Federation of Pharmaceutical Industries and Associations; Kræftens Bekæmpelse","keywords":"Scarcity; Politics; Context (archaeology); Political science; Consistency (knowledge bases); Public administration; State (computer science); Reciprocity (cultural anthropology); Public relations; Business; Economics; Psychology; Geography; Law; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001302911,0.0002558598,0.0004810613,0.002147518,0.01179706,0.003800825,0.00138037,0.0008707191,0.003161314],"category_scores_gemma":[0.005598225,0.0004243347,0.0004421808,0.005195038,0.002230811,0.0007843752,0.002038096,0.001469535,0.0002502001],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06584629,"about_ca_system_score_gemma":0.07365141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919919,"about_ca_topic_score_gemma":0.9962783,"domain_scores_codex":[0.9964742,0.0006257087,0.00008282011,0.0001687984,0.0006269666,0.002021545],"domain_scores_gemma":[0.9943771,0.0008209836,0.0009627672,0.0001727788,0.001639842,0.002026548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001524566,0.0003880455,0.9283658,0.00006794192,0.00003957534,0.002604391,0.04936027,0.0002945229,0.0003139459,0.0013152,0.002389546,0.01470816],"study_design_scores_gemma":[0.00001877327,0.00008866159,0.7879555,0.0001005867,0.00003358017,0.000600351,0.2048503,0.0007738809,0.0001553826,0.0001780202,0.005196422,0.00004857374],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996866,0.0001282142,0.0000309252,0.0005201527,0.00000414248,0.00003268923,0.0001208526,0.000002671387,0.002294217],"genre_scores_gemma":[0.9987866,0.0001874537,0.00005836942,0.00008132879,0.000003139997,0.000008641035,0.00005425018,0.000002711151,0.0008175271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9341537,"threshold_uncertainty_score":0.4777505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1839316769883474,"score_gpt":0.4013316173044189,"score_spread":0.2173999403160715,"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."}}