{"id":"W3002392615","doi":"10.1101/2020.01.14.906461","title":"Honey bee queen production: Canadian costing case study and profitability analysis","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Agriculture and Agri-Food Canada; Agriculture Food and Rural Development; University of British Columbia","funders":"Genome Prairie; Genome British Columbia; Genome Alberta; Ontario Genomics; Genome Canada","keywords":"Beekeeping; Pollinator; Agriculture; Pollination; Profitability index; Biology; Geography; Business; Ecology; Pollen","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004379441,0.0004439644,0.0002604602,0.002905731,0.002374846,0.001294603,0.001152631,0.0005433852,0.002082426],"category_scores_gemma":[0.00143455,0.0001977133,0.0005710603,0.004358923,0.0007398169,0.0003411265,0.0005062917,0.0005156044,0.0001339148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04002311,"about_ca_system_score_gemma":0.01502026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9792433,"about_ca_topic_score_gemma":0.9891741,"domain_scores_codex":[0.9993781,0.00003356095,0.00001516329,0.00004940216,0.0003090523,0.0002147556],"domain_scores_gemma":[0.998516,0.0002475542,0.0001867086,0.00005900977,0.0007093609,0.0002813508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005151645,0.0006005748,0.85195,0.0004128643,0.0002301959,0.01125614,0.003612245,0.03653607,0.003775549,0.007720327,0.01309969,0.07029123],"study_design_scores_gemma":[0.00003198039,0.0001931171,0.9435253,0.00006371309,0.00009202841,0.002120767,0.01153543,0.02623612,0.0009232875,0.0005202068,0.01465979,0.00009833328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865183,0.0003670967,0.0003663724,0.0002468652,0.000006304326,0.0001432523,0.002827966,0.00001478348,0.009509073],"genre_scores_gemma":[0.9930855,0.0004603802,0.001121772,0.00004383075,0.000004559014,0.00003150274,0.00148652,0.000007018432,0.003758922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04002311,"threshold_uncertainty_score":0.2903894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03750986639378454,"score_gpt":0.2509858302650108,"score_spread":0.2134759638712263,"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."}}