{"id":"W1545551033","doi":"10.1080/07359683.2012.705663","title":"Increasing Loyalty to Breastfeeding: Investigating a Product Development Strategy","year":2012,"lang":"en","type":"article","venue":"Health Marketing Quarterly","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breastfeeding; Loyalty; Government (linguistics); Product (mathematics); Social marketing; Loyalty business model; Duration (music); Marketing; Business; Medicine; Psychology; Pediatrics","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":[0.006229826,0.0001794865,0.0001986096,0.0001430983,0.0003895061,0.0003388895,0.0007224643,0.00002911447,0.00001243589],"category_scores_gemma":[0.0003565483,0.0001782708,0.00003051896,0.0005005397,0.00002372162,0.0007659748,0.000159817,0.0002000939,0.0001082939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628269,"about_ca_system_score_gemma":0.0003650381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001853683,"about_ca_topic_score_gemma":0.0000392352,"domain_scores_codex":[0.9973594,0.0006724505,0.0005197771,0.0003396927,0.0003326665,0.0007760472],"domain_scores_gemma":[0.998067,0.000289056,0.000217855,0.0006638945,0.00007556564,0.0006866914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000097544,0.00007834703,0.007487833,0.0001088155,0.000006022784,7.302633e-7,0.01189002,0.00000209006,0.0001822871,0.003455068,0.0006349232,0.9761441],"study_design_scores_gemma":[0.000451973,0.000370172,0.9177981,0.0007974731,0.000003103067,0.0002268416,0.002068649,0.001220678,0.0002177544,0.0001677707,0.07580068,0.0008768045],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8893186,0.001464837,0.02015043,0.01846339,0.0003977613,0.0009163265,0.000002357936,0.001049261,0.06823701],"genre_scores_gemma":[0.8759545,0.000001019635,0.1215313,0.002261683,0.00008127581,0.00002801217,0.000005006738,0.00001505281,0.0001221004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9752673,"threshold_uncertainty_score":0.7269671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867754887646455,"score_gpt":0.3031145691779262,"score_spread":0.2644370203014616,"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."}}