{"id":"W7095095145","doi":"","title":"Word Count: 4,455 + 12*250 = 7,455","year":2003,"lang":"en","type":"article","venue":"","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Census; Travel time; Residential real estate; Kilometer; Travel behavior","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002932392,0.0004364687,0.0009204153,0.001705572,0.0005501778,0.001466731,0.0009063666,0.0006802045,0.7805718],"category_scores_gemma":[0.003056795,0.0002230962,0.0001610389,0.006913788,0.000408762,0.000882881,0.0006961338,0.0003604464,0.467871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007696247,"about_ca_system_score_gemma":0.0007480402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02548052,"about_ca_topic_score_gemma":0.03164428,"domain_scores_codex":[0.9995869,0.00005125762,0.00006899256,0.00004538922,0.0002018639,0.00004566741],"domain_scores_gemma":[0.9978558,0.001031019,0.0002772644,0.00008611017,0.0005036226,0.0002460871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000206186,0.00004743706,0.006607353,0.001001508,0.00001047352,0.0002481046,0.000578736,0.0001515039,0.0003598376,0.0007205,0.8799955,0.1100729],"study_design_scores_gemma":[0.00009900003,0.0001410958,0.07202167,0.001059098,0.00003117572,0.0003321856,0.003098177,0.0005811949,0.0002635334,0.0005150556,0.9218268,0.00003109677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08604386,0.009026632,0.001182427,0.01315194,0.006868707,0.0004872206,0.2541009,0.0007939899,0.6283444],"genre_scores_gemma":[0.06412053,0.009030018,0.0007424058,0.001297924,0.000988532,0.0003716077,0.03446731,0.0002958494,0.8886859],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2194282,"threshold_uncertainty_score":0.3129876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04263246824532166,"score_gpt":0.2287356664057588,"score_spread":0.1861031981604371,"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."}}