{"id":"W2624270924","doi":"10.1111/joss.12268","title":"Exploring approaches for classifying ornamental garden plant purchasers","year":2017,"lang":"en","type":"article","venue":"Journal of Sensory Studies","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vineland Research and Innovation Centre","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Purchasing; Product (mathematics); Pleasure; Marketing; Outdoor activity; Incentive; Business; Scale (ratio); Psychology; Physical activity; Economics; Medicine; Mathematics; Geography; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004425085,0.0001147768,0.0002811396,0.00003656494,0.0007515441,0.00004469456,0.0002308313,0.00002393854,0.00001988487],"category_scores_gemma":[0.0001086563,0.0000853975,0.0001137937,0.00001594844,0.0002355405,0.0004946867,0.0001465536,0.0001462369,0.00001895992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002080609,"about_ca_system_score_gemma":0.00001071023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002990667,"about_ca_topic_score_gemma":0.0002315171,"domain_scores_codex":[0.9990636,0.00002022654,0.0002732369,0.0001289588,0.000265454,0.0002485401],"domain_scores_gemma":[0.9991508,0.00008074319,0.0004889954,0.0001665043,0.00001688942,0.00009602717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005474785,0.0001943765,0.9083062,0.0001864655,0.0007008134,0.0001744524,0.01827848,0.0006936174,0.003820394,0.0001114879,0.03428911,0.03269711],"study_design_scores_gemma":[0.005924234,0.00240188,0.6795007,0.0007169863,0.000477584,0.0004739006,0.18443,0.001282058,0.004001265,0.001071457,0.1185789,0.001140986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99461,0.0005222782,0.0000711032,0.002870941,0.0004733837,0.0001448695,0.000009448226,0.000007088102,0.001290949],"genre_scores_gemma":[0.9950049,0.001281678,0.002402072,0.0001031724,0.0003852246,0.000009418226,3.237392e-7,0.00001281166,0.0008004269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2288055,"threshold_uncertainty_score":0.5780346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5884854475531456,"score_gpt":0.3541538595567405,"score_spread":0.2343315879964051,"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."}}