{"id":"W3191379702","doi":"","title":"The Effectiveness of 3-D Compared to 2-D Signage on Recycling Behaviour","year":2021,"lang":"en","type":"article","venue":"","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kwantlen Polytechnic University","funders":"","keywords":"Workload; Redundancy (engineering); Sorting; Signage; Digital signage; Computer science; Psychology; Multimedia; Advertising; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002239555,0.0008267298,0.0008227305,0.0005954275,0.0002905121,0.00119625,0.0005515472,0.001285711,0.00638019],"category_scores_gemma":[0.02389429,0.0002917431,0.0006286387,0.0002542744,0.0006094754,0.001563238,0.001686153,0.0005429558,0.0008948637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002640583,"about_ca_system_score_gemma":0.0003475679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007752831,"about_ca_topic_score_gemma":0.001432794,"domain_scores_codex":[0.9980522,0.0009245679,0.0002098662,0.0002671682,0.000362711,0.0001833438],"domain_scores_gemma":[0.9834406,0.01312792,0.001234521,0.0009648224,0.000468608,0.0007635937],"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":[0.04442171,0.009591529,0.05604397,0.003794791,0.0003769519,0.0007693399,0.007814385,0.004322648,0.3482358,0.0008226308,0.001714784,0.5220916],"study_design_scores_gemma":[0.003234639,0.09261158,0.7251702,0.001449099,0.00123832,0.001619733,0.007749087,0.0271232,0.1162874,0.003965199,0.01902762,0.0005238981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948927,0.0001866269,0.001865754,0.00006127771,0.00003288341,0.00008700552,0.00005251562,0.0001313828,0.002689895],"genre_scores_gemma":[0.9856281,0.000308426,0.01122488,0.0001158009,0.00003587221,0.0002918462,0.0001239861,0.00005520463,0.002215958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00638019,"threshold_uncertainty_score":0.02134389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303664251808903,"score_gpt":0.3038725381365975,"score_spread":0.2808358956185085,"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."}}