{"id":"W6991940779","doi":"","title":"Investor Ideas Potcasts, Cannabis News and Stocks on the Move: Happy 1 Year Anniversary Canada!","year":2019,"lang":"en","type":"other","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cannabis; Government (linguistics); Action (physics); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001250338,0.0002681855,0.0002844252,0.0001398045,0.00005118104,0.0001212396,0.0006628968,0.0001881825,0.0004132137],"category_scores_gemma":[0.00002931032,0.0001735378,0.00004549566,0.0001798899,0.00004128719,0.0000644718,0.0001621224,0.0002390586,0.0003502647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040492,"about_ca_system_score_gemma":0.0007495747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5616909,"about_ca_topic_score_gemma":0.5237345,"domain_scores_codex":[0.9985548,0.0001184234,0.0001534432,0.0004903671,0.0004280781,0.0002549421],"domain_scores_gemma":[0.998807,0.00007445148,0.0001508761,0.0007685795,0.00004003145,0.0001590618],"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":[0.00000118699,0.00000467284,0.00007019687,0.00001874885,0.00003352446,0.00001132841,0.00007926097,5.272973e-7,0.000001026128,0.006181885,0.9913074,0.002290275],"study_design_scores_gemma":[0.0001413155,0.00002794346,0.0002245336,0.0001345478,0.000005988078,0.00001206339,0.0001122317,0.0000945812,0.00000639195,0.00008967121,0.9989011,0.0002495924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003325792,0.0004493515,0.002356362,0.007570488,0.001232063,0.0007017912,0.00008822071,0.0002095613,0.9873589],"genre_scores_gemma":[0.001334763,0.00003449565,0.0005093089,0.005029602,0.0003066151,0.00001909991,0.00000599892,0.0001038623,0.9926562],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03795638,"threshold_uncertainty_score":0.7076668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118259734327957,"score_gpt":0.2000134730734539,"score_spread":0.1888308757301744,"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."}}