{"id":"W1558513854","doi":"","title":"The truth about falling coconuts","year":2002,"lang":"en","type":"article","venue":"PubMed Central","topic":"Coconut Research and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Falling (accident); Comics; Medicine; Computer science; Artificial intelligence; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.005140594,0.0006579465,0.001291884,0.00102634,0.005091478,0.006280298,0.001729687,0.01332104,0.01096932],"category_scores_gemma":[0.02413308,0.0004149209,0.0005227557,0.001172025,0.02563193,0.01029578,0.002141868,0.02106347,0.003883412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004120337,"about_ca_system_score_gemma":0.003303382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01270727,"about_ca_topic_score_gemma":0.01092089,"domain_scores_codex":[0.9946684,0.001709972,0.0003193653,0.0008737047,0.001992927,0.000435668],"domain_scores_gemma":[0.9883422,0.007024139,0.0007103773,0.0007979225,0.002425786,0.0006995643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002176174,0.00002019586,0.0003781882,0.0006692358,0.00004325683,0.0005630063,0.002291061,0.00007779358,0.0004079028,0.1781421,0.7582168,0.05897286],"study_design_scores_gemma":[0.00002333878,0.00004211141,0.0002880459,0.0008331005,0.00002499224,0.0008412685,0.002525044,0.00004995544,0.0004104317,0.06046526,0.9344645,0.00003203527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001408278,0.1237275,0.0005731834,0.8034475,0.04343851,0.000004450736,0.00008865424,0.00004623844,0.0272656],"genre_scores_gemma":[0.09488849,0.1483608,0.0009718957,0.6523952,0.07431837,0.00002433799,0.0001515018,0.0001471184,0.02874232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01332104,"threshold_uncertainty_score":0.03669602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583264417478525,"score_gpt":0.2381205064477045,"score_spread":0.2122878622729193,"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."}}