{"id":"W6999078146","doi":"","title":"Canadian Technology Accelerator Launches 9th Annual Cleantech Cohort","year":2020,"lang":"en","type":"other","venue":"","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cohort; Technology development; Government (linguistics); Cohort study","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002167511,0.0002745066,0.0006263627,0.001413414,0.00005947598,0.00001497601,0.0003986193,0.0006221879,0.02167956],"category_scores_gemma":[0.0003101163,0.0001979822,0.00006794839,0.001048753,0.0004052947,0.00002413827,0.0000798952,0.0007075943,0.001148473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002183167,"about_ca_system_score_gemma":0.002429004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1278992,"about_ca_topic_score_gemma":0.240995,"domain_scores_codex":[0.9978875,0.00001592952,0.0002037012,0.0006012907,0.0005957799,0.0006958361],"domain_scores_gemma":[0.9981397,0.00001738296,0.00005538978,0.0005349845,0.0001055161,0.001146996],"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":[0.0000123163,0.00002083858,0.0135506,0.00007813679,0.00009260193,0.0005156201,0.00005878117,3.081517e-9,0.0001365694,0.0003484737,0.9728246,0.0123614],"study_design_scores_gemma":[0.0005812894,0.0002937382,0.001285225,0.0002069171,0.00006784943,0.00009752226,0.001078033,0.000006726924,0.0004028081,0.00001702237,0.9957697,0.0001931667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002686566,0.001520871,0.00003631301,0.01774329,0.0005203428,0.0009442489,0.0001107396,0.0005483415,0.9783072],"genre_scores_gemma":[0.006130329,0.0008645306,0.0008314719,0.004837412,0.00104905,0.00004218927,0.00008231781,0.0002600938,0.9859026],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1130958,"threshold_uncertainty_score":0.9996293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576321991728557,"score_gpt":0.2957647984560396,"score_spread":0.280001578538754,"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."}}