{"id":"W2024161129","doi":"10.1136/ip.2004.007864","title":"Eats, Shoots &amp; Leaves","year":2005,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cargill (Canada)","funders":"","keywords":"Shoot; Forensic engineering; Engineering; Materials science; Botany; Chemistry; Biology","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":[0.0002588945,0.001085811,0.0007933665,0.002028033,0.000933977,0.004003925,0.0009303923,0.0007935113,0.1604462],"category_scores_gemma":[0.0008153586,0.0005537957,0.0004869235,0.002419184,0.0005225659,0.002857814,0.001347076,0.001549136,0.1600538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007791782,"about_ca_system_score_gemma":0.001564168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006769899,"about_ca_topic_score_gemma":0.01594988,"domain_scores_codex":[0.9997684,0.00002818172,0.0000143179,0.00004509086,0.0001262467,0.00001772667],"domain_scores_gemma":[0.9997568,0.00004208022,0.00002693753,0.00002018685,0.000101538,0.00005253726],"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":[0.00001009876,0.00001391923,0.00005433408,0.000198116,0.000002508241,0.00004486614,0.0001869161,0.00003876462,0.0001339692,0.002222919,0.8793435,0.1177502],"study_design_scores_gemma":[7.873614e-7,0.000002501857,0.0001460599,0.0001312674,0.00000101589,0.00008579025,0.00007332893,0.00001263429,0.00003404306,0.0004939132,0.9990166,0.000001988937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001190667,0.2184483,0.002793923,0.008224071,0.01496061,0.00007313541,0.002593403,0.00132172,0.7503941],"genre_scores_gemma":[0.002476663,0.04798289,0.001943843,0.001353505,0.0007148089,0.00003716913,0.001084634,0.0004877284,0.9439188],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1604462,"threshold_uncertainty_score":0.536746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06273803248041888,"score_gpt":0.3034680890053121,"score_spread":0.2407300565248932,"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."}}