{"id":"W7052821344","doi":"","title":"Tech And Cannabis Industry","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Audit; Automotive industry; Variety (cybernetics); Government (linguistics); Financial Audit; Cash flow; Delegation; Financial services","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":[],"category_scores_codex":[0.0002755577,0.0004480452,0.0001826306,0.001287014,0.003408052,0.005087309,0.0004790191,0.001713271,0.3693665],"category_scores_gemma":[0.001075386,0.0002086277,0.0001506208,0.00161107,0.0006274631,0.002450811,0.002653124,0.001573609,0.1233418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647322,"about_ca_system_score_gemma":0.004706748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02500239,"about_ca_topic_score_gemma":0.06347645,"domain_scores_codex":[0.9994856,0.00002326018,0.000009598505,0.00007300421,0.0002655977,0.0001429004],"domain_scores_gemma":[0.9992523,0.00003789493,0.00003381088,0.00003472735,0.0001807054,0.0004605697],"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":[0.0000153268,0.00002029487,0.0006047098,0.00003398083,9.596419e-7,0.0001106477,0.0001219533,0.00002216212,0.0002289461,0.01295447,0.9180762,0.06781036],"study_design_scores_gemma":[8.069985e-7,0.000003019241,0.0004194242,0.0000181893,3.10717e-7,0.00003891464,0.0001445155,0.00001124124,0.00004273924,0.0004599049,0.9988595,0.000001496715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001520728,0.006071076,0.0001127578,0.01593504,0.002680113,0.0000173299,0.000415611,0.0002214169,0.973026],"genre_scores_gemma":[0.005338306,0.002200593,0.0000619202,0.001275197,0.0003324884,0.000004968616,0.0002398465,0.00003900487,0.9905076],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3693665,"threshold_uncertainty_score":0.8995222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004499688304249257,"score_gpt":0.1712386387236477,"score_spread":0.1667389504193984,"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."}}