{"id":"W2969475866","doi":"","title":"LE PLUS GRAND PROJET CANADIEN DE R&D EN GÉOMATIQUE SE MET EN BRANLE","year":2019,"lang":"fr","type":"article","venue":"GEOMATICA","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001166747,0.000192617,0.0003181934,0.0000922446,0.000278265,0.00009686099,0.0004281173,0.0002550545,0.001011158],"category_scores_gemma":[0.0001484347,0.0001940876,0.0001025724,0.0003926595,0.000221849,0.0002963144,0.000076125,0.00018198,0.001725253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004117618,"about_ca_system_score_gemma":0.002743586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08149797,"about_ca_topic_score_gemma":0.04484739,"domain_scores_codex":[0.9977276,0.0006372028,0.0002984238,0.0002421255,0.0003580459,0.0007366498],"domain_scores_gemma":[0.9988731,0.0004568356,0.0001047924,0.0002174454,0.0000532276,0.0002945673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000220751,0.0000777659,0.007648021,0.0004527832,0.0001623542,0.00004655135,0.2330319,0.00009235473,0.00005806158,0.695953,0.05326443,0.009190686],"study_design_scores_gemma":[0.000747951,0.00007828439,0.01081041,0.000294113,0.00004472723,0.00003953943,0.005242345,0.0007134498,0.0001038632,0.04621096,0.9352868,0.0004276159],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6663447,0.0005577581,0.00009271847,0.04266663,0.0006844661,0.0007131772,0.00002488957,0.00005460195,0.2888611],"genre_scores_gemma":[0.7382066,0.0006836591,0.004246864,0.001657479,0.000641959,0.00005885862,0.00002677255,0.00003281149,0.254445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8820223,"threshold_uncertainty_score":0.9999021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146031311733982,"score_gpt":0.2823552780265375,"score_spread":0.2677521468531393,"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."}}