{"id":"W4233754959","doi":"10.1079/dmpp/20056600135","title":"<i>Heliothrips haemorrhoidalis</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Pests","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Sierra leone; Distribution (mathematics); China; Socioeconomics; Archaeology","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":[0.0001545976,0.001487358,0.0004830339,0.003225555,0.0003689846,0.0006893806,0.0008252009,0.0003184237,0.1618993],"category_scores_gemma":[0.0004017184,0.0002582609,0.0002749497,0.004918068,0.000265539,0.0007398595,0.0005769212,0.0005556867,0.08089776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005688,"about_ca_system_score_gemma":0.0007103331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0388578,"about_ca_topic_score_gemma":0.03587427,"domain_scores_codex":[0.9998815,0.0000123948,0.00001028101,0.00002819184,0.00004280787,0.00002489661],"domain_scores_gemma":[0.9996897,0.00003015338,0.00007393679,0.00001181954,0.0001455385,0.0000489147],"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":[0.00008337327,0.00002341652,0.001645944,0.001258339,0.00001771424,0.0001136692,0.00008107383,0.0002382111,0.000934387,0.0004191058,0.9518151,0.04336965],"study_design_scores_gemma":[0.00004522245,0.00002268385,0.02394893,0.0001860447,0.00001036119,0.0001560141,0.00007223213,0.0002088954,0.0002192563,0.0001759274,0.9749438,0.00001081261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003178887,0.003279442,0.001238717,0.0009996505,0.0005746984,0.0005510279,0.8232706,0.001651143,0.1652558],"genre_scores_gemma":[0.01255761,0.003830402,0.005196036,0.0005695808,0.0001877824,0.0005909118,0.9013859,0.0002827819,0.07539902],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1618993,"threshold_uncertainty_score":0.541607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002909891645591,"score_gpt":0.2076360609844509,"score_spread":0.1976069620679951,"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."}}