{"id":"W7035751729","doi":"","title":"Advances in artificial intelligence: 29th Canadian conference on artificial intelligence, canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016 proceedings","year":2016,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Triacetin; Emperipolesis; Demotion","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":[0.003347632,0.001458604,0.00182396,0.003100438,0.001899672,0.008315688,0.002178158,0.001208678,0.1094433],"category_scores_gemma":[0.006133556,0.0007187072,0.0007768395,0.004451307,0.002199825,0.003353874,0.002601191,0.003055845,0.03798211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009311754,"about_ca_system_score_gemma":0.02513923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3532222,"about_ca_topic_score_gemma":0.4869361,"domain_scores_codex":[0.9981738,0.0001529104,0.0001111915,0.0001966207,0.001205344,0.0001601111],"domain_scores_gemma":[0.9949021,0.0006891816,0.00009763802,0.0006726276,0.002875133,0.0007633239],"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":[0.00004963271,0.00005507816,0.0004163082,0.0003418053,0.00003432754,0.00003354303,0.0001281776,0.0008896448,0.0004360169,0.01342621,0.7828439,0.2013453],"study_design_scores_gemma":[0.00001109738,0.000009402051,0.001030673,0.0002289763,0.00002239939,0.00004793759,0.0001158508,0.0019332,0.0005126355,0.009513765,0.9865552,0.00001876504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003881952,0.1290001,0.08410153,0.02714158,0.02079047,0.0004508731,0.01431929,0.007734243,0.7125799],"genre_scores_gemma":[0.02269337,0.08377606,0.0486032,0.00104188,0.00180828,0.0001640599,0.01666025,0.002259759,0.8229932],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6467779,"threshold_uncertainty_score":0.7023324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092021755623411,"score_gpt":0.2650261443332184,"score_spread":0.2341059267769843,"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."}}